PATENT DOCUMENT

Publication Number: US-8385946-B2
Application Number: US-2016808-A
Country: US
Kind Code: B2

Title: Disfavored route progressions or locations

Abstract:
Adaptive route guidance can include analyzing route progressions associated with one or more routes based on multiple user preferences. The adaptive route guidance can provide one or more preferred routes based on the user preferences, which can be presented to a user for navigation purposes.

Claims:
1. A method comprising:
 identifying one or more preferences comprising one or more disfavored route progressions associated with a user, wherein a route progression includes a discrete length of a road that is part of a route for driving to a destination, and wherein a disfavored route progression includes a section of a route that the user wants to avoid while driving to the destination; 
 obtaining information corresponding to a destination associated with the user; 
 identifying one or more potential routes comprising a plurality of route progressions based on a current location of the user and the destination; 
 for each route included in the one or more potential routes, analyzing the plurality of route progressions associated with the route based on weightings associated with the disfavored route progressions, wherein a weighting for a disfavored route progression indicates an extent to which the user avoids the disfavored route progression while traversing a route that includes the disfavored route progression, the weighting based on a ratio between a number of times the disfavored route progression is traveled during traversing the route that includes the disfavored route progression, and a total number of times the route has been traversed; 
 ordering the one or more potential routes based on aggregate weightings of the disfavored route progressions associated with each potential route; and 
 presenting the ordered one or more potential routes to the user for driving to the destination. 
 
     
     
       2. The method of  claim 1 , wherein a preference comprises traffic preferences and the method comprises:
 retrieving traffic information associated with the plurality of route progressions for each route; and 
 analyzing the plurality of route progressions based on the traffic preferences. 
 
     
     
       3. The method of  claim 2 , comprising:
 providing an estimated time associated with each of the one or more potential routes presented to the user, the estimated time being based on the traffic information. 
 
     
     
       4. The method of  claim 1 , comprising:
 collecting route data associated with the user, the route data comprising information about route progressions traversed by the user; 
 analyzing the route data; and 
 deriving preferences based upon analyzing the route data. 
 
     
     
       5. The method of  claim 4 , comprising deriving disfavored route progressions based upon the derived preferences. 
     
     
       6. The method of  claim 4 , wherein the route data includes deviations from one or more route progressions included in a route presented to the user, the deviations made by the user while traversing the route. 
     
     
       7. The method of  claim 1 , wherein ordering the one or more potential routes comprises placing a route with more total weighting lower in priority compared to a route with less total weighting. 
     
     
       8. The method of  claim 1 , comprising receiving the one or more preferences from the user and storing the preferences in a preference data store. 
     
     
       9. The method of  claim 1 , comprising:
 detecting when a user has avoided a route progression associated with a particular route while traversing the particular route; and 
 identifying the route progression associated with the particular route as a disfavored route progression. 
 
     
     
       10. A system comprising:
 a preference engine operable to receive one or more disfavored route progressions associated with a user, wherein a route progression includes a discrete length of a road that is part of a route for driving to a destination, and wherein a disfavored route progression includes a section of a route that the user wants to avoid while driving to the destination; 
 a destination engine operable to receive information corresponding to a destination associated with the user; 
 a routing engine operable to identify one or more potential routes, each route comprising a plurality of route progressions, the identification of the one or more potential routes being based on a current location of the user and the destination; 
 an analysis engine operable to analyze, for each route included in the one or more potential routes, the plurality of route progressions associated with the route based on weightings associated with the plurality of disfavored route progressions, wherein a weighting for a disfavored route progression indicates an extent to which the user avoids the disfavored route progression while traversing a route that includes the disfavored route progression, the weighting based on a ratio between a number of times the disfavored route progression is traveled during traversing the route that includes the disfavored route progression, and a total number of times the route has been traversed, the analysis engine operable to order the one or more potential routes based on aggregate weightings of the disfavored route progressions associated with each potential route; and 
 a presentation engine operable to present the ordered one or more potential routes to the user for driving to the destination. 
 
     
     
       11. The system of  claim 10 , wherein preference engine is further operable to receive traffic preferences and the analysis engine is further operable to retrieve traffic information associated with the plurality of route progressions for each route and to analyze the plurality of route progressions based on the traffic preferences and the disfavored route progressions. 
     
     
       12. The system of  claim 11 , wherein the analysis engine is operable to derive an estimated time associated with each of the plurality of routes, and the presentation engine is operable to provide to the user the estimated time associated with each of the plurality of routes, the estimated time being based on the traffic information. 
     
     
       13. The system of  claim 10 , comprising:
 a history data store operable to store historical route data associated with the user, the historical route data comprising information about route progressions traversed by the user; and 
 wherein the preference engine is operable to analyze the historical route data and to derive disfavored route progressions based upon analysis of the historical route data. 
 
     
     
       14. The system of  claim 13 , wherein the historical route data includes deviations from one or more route progressions included in a route presented to the user, the deviations made by the user while traversing the route. 
     
     
       15. The system of  claim 10 , wherein the analysis engine is operable to order the one or more potential routes based on placing a route with more total weighting lower in priority compared to a route with less total weighting. 
     
     
       16. The system of  claim 10 , wherein the preference engine is operable to receive preferences associated with the user. 
     
     
       17. The system of  claim 10 , wherein the presentation engine is operable to detect when a user has avoided a route progression associated with a particular route while traversing the particular route; and
 wherein the preference engine is operable to flag the route progression associated with the particular route as a disfavored route progression. 
 
     
     
       18. The system of  claim 17 , wherein the routing engine is operable to identify one or more alternative routes responsive to the user avoiding the route progression associated with the particular route, and the analysis engine is operable to reorder the alternative routes based upon disfavored route progressions associated with each of the alternative routes, and the presentation engine is operable to present a preferred order of alternative routes to the user. 
     
     
       19. The system of  claim 18 , wherein the user can select one of the alternative routes by beginning navigation of the route. 
     
     
       20. A non-transitory computer-readable medium including one or more sequences of instructions which, when executed by one or more processors, causes the processor to perform operations comprising:
 collecting historical navigation data based on a plurality of navigations associated with a user; 
 deriving one or more disfavored route progressions based on the historical navigation data, wherein a route progression includes a discrete length of a road that is part of a route for driving to a destination, and wherein a disfavored route progression includes a section of a route that the user wants to avoid while driving to the destination; 
 obtaining information corresponding to a destination associated with the user; 
 identifying one or more potential routes comprising a plurality of route progressions based on a current location of the user and the destination; 
 for each route included in the one or more potential routes, analyzing the plurality of route progressions associated with the route based on weightings associated with the disfavored route progressions, wherein a weighting for a disfavored route progression indicates an extent to which the user avoids the disfavored route progression while traversing a route that includes the disfavored route progression, the weighting based on a ratio between a number of times the disfavored route progression is traveled during traversing the route that includes the disfavored route progression, and a total number of times the route has been traversed; 
 ordering the one or more potential routes based on aggregate weightings of the disfavored route progressions associated with each potential route; and 
 presenting the ordered one or more potential routes to the user for driving to the destination. 
 
     
     
       21. A computer-implemented method comprising:
 collecting historical navigation data based on a plurality of navigations associated with a user; 
 deriving one or more disfavored route progressions based on the historical navigation data, wherein a route progression includes a discrete length of a road that is part of a route for driving to a destination, and wherein a disfavored route progression includes a section of a route that the user wants to avoid while driving to the destination; 
 obtaining information corresponding to a destination associated with the user; 
 identifying one or more potential routes comprising a plurality of route progressions based on a current location of the user and the destination; 
 for each route included in the one or more potential routes, analyzing the plurality of route progressions associated with the route based on weightings associated with the disfavored route progressions, wherein a weighting for a disfavored route progression indicates an extent to which the user avoids the disfavored route progression while traversing a route that includes the disfavored route progression, the weighting based on a ratio between a number of times the disfavored route progression is traveled during traversing the route that includes the disfavored route progression, and a total number of times the route has been traversed; 
 ordering the one or more potential routes based on aggregate weightings of the disfavored route progressions associated with each potential route; and 
 presenting the ordered one or more potential routes to the user for driving to the destination.

Description:
CROSS-REFERENCE TO RELATED APPLICATION 
     This application claims priority to U.S. Provisional Patent Application Ser. No. 60/946,837 filed Jun. 28, 2007, and entitled “DISFAVORED ROUTE PROGRESSIONS OR LOCATIONS” the contents of which are incorporated herein by reference. 
    
    
     BACKGROUND 
     This disclosure relates to navigation using a mobile device. 
     Navigation systems have begun to include functionality for inclusion of traffic data overlaying a navigation interface. Such navigation systems, however, provide little intelligence other than the ability to navigate from an origination point to a destination point. Because a user often has some intelligence about routes to a location, in many instances the user ignores navigation routes provided by the navigation system in favor of the routes the user knows. Additionally, current navigation systems do not readily facilitate navigation to a destination if a user desires to travel a different route while enroute on the route recommended by the navigation system. 
     SUMMARY 
     In one aspect, systems, methods, apparatuses and computer program products are provided. In one aspect, methods are disclosed, which comprise: receiving a preference comprising disfavored route progressions or disfavored locations associated with a user; identifying destination information associated with a user; identifying one or more potential routes comprising a plurality of route progressions based on a current location and the destination information; analyzing the plurality of route progressions associated with the one or more potential routes based on the disfavored route progressions or disfavored locations associated with the user; and presenting one or more routes to the user based on the analysis. 
     Systems can include a preference engine, a destination engine, a routing engine, an analysis engine, and a presentation engine. The preference engine can receive disfavored route progressions or disfavored locations associated with a user. The routing engine can identify routes, each route including a plurality of route progressions. The identification of the routes can be based on a current location and the destination information. The analysis engine can analyze the plurality of route progressions associated with the potential routes based upon the disfavored route progressions or disfavored locations. The presentation engine can present preferred routes to the user, the preferred routes being based on results from the analysis engine. 
     Systems and methods as described can facilitate navigation of roads by directing a user to use routes that do not include disfavored route progressions or locations associated with the user. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
         FIG. 1  is a block diagram of an example mobile device. 
         FIG. 2  is a block diagram of an example network operating environment for the mobile device of  FIG. 1 . 
         FIG. 3  is a block diagram of an example implementation of the mobile device of  FIG. 1 . 
         FIG. 4A  is a block diagram illustrating an example implementation of routing instructions. 
         FIG. 4B  is a block diagram of a plurality of route progressions. 
         FIG. 5  is a block diagram illustrating an example implementation of a preferences engine. 
         FIG. 6  is a flowchart illustrating an example method for routing. 
         FIG. 7  is a flowchart illustrating another example method for routing. 
     
    
    
     DETAILED DESCRIPTION 
       FIG. 1  is a block diagram of an example mobile device  100 . The mobile device  100  can be, for example, a handheld computer, a personal digital assistant, a cellular telephone, a network appliance, a camera, a smart phone, an enhanced general packet radio service (EGPRS) mobile phone, a network base station, a media player, a navigation device, an email device, a game console, or other device or a combination of any two or more of these data processing devices or other data processing devices. 
     Mobile Device Overview 
     In some implementations, the mobile device  100  includes a touch-sensitive display  102 . The touch-sensitive display  102  can implement liquid crystal display (LCD) technology, light emitting polymer display (LPD) technology, or some other display technology. The touch-sensitive display  102  can be sensitive to haptic and/or tactile contact with a user. 
     In some implementations, the touch-sensitive display  102  can comprise a multi-touch-sensitive display  102 . A multi-touch-sensitive display  102  can, for example, process multiple simultaneous touch points, including processing data related to the pressure, degree and/or position of each touch point. Such processing facilitates gestures and interactions with multiple fingers, chording, and other interactions. Other touch-sensitive display technologies can also be used, e.g., a display in which contact is made using a stylus or other pointing device. Some examples of multi-touch-sensitive display technology are described in U.S. Pat. Nos. 6,323,846, 6,570,557, 6,677,932, and U.S. Patent Publication 2002/0015024A1, each of which is incorporated by reference herein in its entirety. 
     In some implementations, the mobile device  100  can display one or more graphical user interfaces on the touch-sensitive display  102  for providing the user access to various system objects and for conveying information to the user. In some implementations, the graphical user interface can include one or more display objects  104 ,  106 . In the example shown, the display objects  104 ,  106 , are graphic representations of system objects. Some examples of system objects include device functions, applications, windows, files, alerts, events, or other identifiable system objects. 
     Example Mobile Device Functionality 
     In some implementations, the mobile device  100  can implement multiple device functionalities, such as a telephony device, as indicated by a phone object  110 ; an e-mail device, as indicated by the e-mail object  112 ; a network data communication device, as indicated by the Web object  114 ; a Wi-Fi base station device (not shown); and a media processing device, as indicated by the media player object  116 . In some implementations, particular display objects  104 , e.g., the phone object  110 , the e-mail object  112 , the Web object  114 , and the media player object  116  can be displayed in a menu bar  118 . In some implementations, device functionalities can be accessed from a top-level graphical user interface, such as the graphical user interface illustrated in  FIG. 1 . Touching one of the objects  110 ,  112 ,  114  or  116  can, for example, invoke corresponding functionality. 
     In some implementations, the mobile device  100  can implement network distribution functionality. For example, the functionality can enable the user to take the mobile device  100  and its associated network while traveling. In particular, the mobile device  100  can extend Internet access (e.g., Wi-Fi) to other wireless devices in the vicinity. For example, mobile device  100  can be configured as a base station for one or more devices. As such, mobile device  100  can grant or deny network access to other wireless devices. 
     In some implementations, upon invocation of device functionality, the graphical user interface of the mobile device  100  changes, or is augmented or replaced with another user interface or user interface elements, to facilitate user access to particular functions associated with the corresponding device functionality. For example, in response to a user touching the phone object  110 , the graphical user interface of the touch-sensitive display  102  may present display objects related to various phone functions; likewise, touching of the email object  112  may cause the graphical user interface to present display objects related to various e-mail functions; touching the Web object  114  may cause the graphical user interface to present display objects related to various Web-surfing functions; and touching the media player object  116  may cause the graphical user interface to present display objects related to various media processing functions. 
     In some implementations, the top-level graphical user interface environment or state of  FIG. 1  can be restored by pressing a button  120  located near the bottom of the mobile device  100 . In some implementations, each corresponding device functionality may have corresponding “home” display objects displayed on the touch-sensitive display  102 , and the graphical user interface environment of  FIG. 1  can be restored by pressing the “home” display object. 
     In some implementations, the top-level graphical user interface can include additional display objects  106 , such as a short messaging service (SMS) object  130 , a calendar object  132 , a photos object  134 , a camera object  136 , a calculator object  138 , a stocks object  140 , a weather object  142 , a maps object  144 , a notes object  146 , a clock object  148 , an address book object  150 , and a settings object  152 . Touching the SMS display object  130  can, for example, invoke an SMS messaging environment and supporting functionality; likewise, each selection of a display object  130 ,  132 ,  134 ,  136 ,  138 ,  140 ,  142 ,  144 ,  146 ,  148 ,  150  and  152  can invoke a corresponding object environment and functionality. 
     Additional and/or different display objects can also be displayed in the graphical user interface of  FIG. 1 . For example, if the device  100  is functioning as a base station for other devices, one or more “connection” objects may appear in the graphical user interface to indicate the connection. In some implementations, the display objects  106  can be configured by a user, e.g., a user may specify which display objects  106  are displayed, and/or may download additional applications or other software that provides other functionalities and corresponding display objects. 
     In some implementations, the mobile device  100  can include one or more input/output (I/O) devices and/or sensor devices. For example, a speaker  160  and a microphone  162  can be included to facilitate voice-enabled functionalities, such as phone and voice mail functions. In some implementations, a loud speaker  164  can be included to facilitate hands-free voice functionalities, such as speaker phone functions. An audio jack  166  can also be included for use of headphones and/or a microphone. 
     In some implementations, a proximity sensor  168  can be included to facilitate the detection of the user positioning the mobile device  100  proximate to the user&#39;s ear and, in response, to disengage the touch-sensitive display  102  to prevent accidental function invocations. In some implementations, the touch-sensitive display  102  can be turned off to conserve additional power when the mobile device  100  is proximate to the user&#39;s ear. 
     Other sensors can also be used. For example, in some implementations, an ambient light sensor  170  can be utilized to facilitate adjusting the brightness of the touch-sensitive display  102 . In some implementations, an accelerometer  172  can be utilized to detect movement of the mobile device  100 , as indicated by the directional arrow  174 . Accordingly, display objects and/or media can be presented according to a detected orientation, e.g., portrait or landscape. In some implementations, the mobile device  100  may include circuitry and sensors for supporting a location determining capability, such as that provided by the global positioning system (GPS) or other positioning systems (e.g., systems using Wi-Fi access points, television signals, cellular grids, Uniform Resource Locators (URLs)). In some implementations, a positioning system (e.g., a GPS receiver) can be integrated into the mobile device  100  or provided as a separate device that can be coupled to the mobile device  100  through an interface (e.g., port device  190 ) to provide access to location-based services. 
     The mobile device  100  can also include a camera lens and sensor  180 . In some implementations, the camera lens and sensor  180  can be located on the back surface of the mobile device  100 . The camera can capture still images and/or video. 
     The mobile device  100  can also include one or more wireless communication subsystems, such as an 802.11b/g communication device  186 , and/or a Bluetooth™ communication device  188 . Other communication protocols can also be supported, including other 802.x communication protocols (e.g., WiMax, Wi-Fi, 3G), code division multiple access (CDMA), global system for mobile communications (GSM), Enhanced Data GSM Environment (EDGE), etc. 
     In some implementations, a port device  190 , e.g., a Universal Serial Bus (USB) port, or a docking port, or some other wired port connection, can be included. The port device  190  can, for example, be utilized to establish a wired connection to other computing devices, such as other communication devices  100 , network access devices, a personal computer, a printer, or other processing devices capable of receiving and/or transmitting data. In some implementations, the port device  190  allows the mobile device  100  to synchronize with a host device using one or more protocols, such as, for example, the TCP/IP, HTTP, UDP and any other known protocol. In some implementations, a TCP/IP over USB protocol can be used. 
     Network Operating Environment 
       FIG. 2  is a block diagram of an example network operating environment  200  for the mobile device  100  of  FIG. 1 . The mobile device  100  of  FIG. 1  can, for example, communicate over one or more wired and/or wireless networks  210  in data communication. For example, a wireless network  212 , e.g., a cellular network, can communicate with a wide area network (WAN)  214 , such as the Internet, by use of a gateway  216 . Likewise, an access point  218 , such as an 802.11g wireless access point device, can provide communication access to the wide area network  214 . In some implementations, both voice and data communications can be established over the wireless network  212  and the access point  218 . For example, the mobile device  100   a  can place and receive phone calls (e.g., using VoIP protocols), send and receive e-mail messages (e.g., using POP3 protocol), and retrieve electronic documents and/or streams, such as web pages, photographs, and videos, over the wireless network  212 , gateway  216 , and wide area network  214  (e.g., using TCP/IP or UDP protocols). Likewise, the mobile device  100   b  can place and receive phone calls, send and receive e-mail messages, and retrieve electronic documents over the access point  218  and the wide area network  214 . In some implementations, the mobile device  100  can be physically connected to the access point  218  using one or more cables and the access point  218  can be a personal computer. In this configuration, the mobile device  100  can be referred to as a “tethered” device. 
     The mobile devices  100   a  and  100   b  can also establish communications by other means. For example, the wireless device  100   a  can communicate with other wireless devices, e.g., other wireless devices  100 , cell phones, etc., over the wireless network  212 . Likewise, the mobile devices  100   a  and  100   b  can establish peer-to-peer communications  220 , e.g., a personal area network, by use of one or more communication subsystems, such as the Bluetooth™ communication device  188  shown in  FIG. 1 . Other communication protocols and topologies can also be implemented. 
     The mobile device  100  can, for example, communicate with one or more services  230 ,  240 ,  250 , and  260  and/or one or more content publishers  270  over the one or more wired and/or wireless networks  210 . For example, a navigation service  230  can provide navigation information, e.g., map information, location information, route information, and other information, to the mobile device  100 . In the example shown, a user of the mobile device  100   b  has invoked a map functionality, e.g., by pressing the maps object  144  on the top-level graphical user interface shown in  FIG. 1 , and has requested and received a map for the location “1 Infinite Loop, Cupertino, Calif.” 
     A messaging service  240  can, for example, provide e-mail and/or other messaging services. A media service  250  can, for example, provide access to media files, such as song files, movie files, video clips, and other media data. One or more other services  260  can also be utilized by the mobile device  100 . 
     The mobile device  100  can also access other data and content over the one or more wired and/or wireless networks  210 . For example, content publishers  270 , such as news sites, RSS feeds, web sites, blogs, social networking sites, developer networks, etc., can be accessed by the mobile device  100 . Such access can be provided by invocation of a web browsing function or application (e.g., a browser) in response to a user touching the Web object  114 . 
     Example Mobile Device Architecture 
       FIG. 3  is a block diagram  300  of an example implementation of the mobile device  100  of  FIG. 1 . The mobile device  100  can include a memory interface  302 , one or more data processors, image processors and/or central processing units  304 , and a peripherals interface  306 . The memory interface  302 , the one or more processors  304  and/or the peripherals interface  306  can be separate components or can be integrated in one or more integrated circuits. The various components in the mobile device  100  can be coupled by one or more communication buses or signal lines. 
     Sensors, devices and subsystems can be coupled to the peripherals interface  306  to facilitate multiple functionalities. For example, a motion sensor  310 , a light sensor  312 , and a proximity sensor  314  can be coupled to the peripherals interface  306  to facilitate the orientation, lighting and proximity functions described with respect to  FIG. 1 . Other sensors  316  can also be connected to the peripherals interface  306 , such as a positioning system (e.g., GPS receiver), a temperature sensor, a biometric sensor, or other sensing device, to facilitate related functionalities. 
     In some implementations, the mobile device can receive positioning information from a positioning system  318 . The positioning system  318 , in various implementations, can be located on the mobile device, or can be coupled to the mobile device (e.g., using a wired connection or a wireless connection). In some implementations, the positioning system  318  can include a global positioning system (GPS) receiver and a positioning engine operable to derive positioning information from received GPS satellite signals. In other implementations, the positioning system  318  can include a compass and an accelerometer, as well as a positioning engine operable to derive positioning information based on dead reckoning techniques. In still further implementations, the positioning system  318  can use wireless signals (e.g., cellular signals, IEEE 802.11 signals, etc) to determine location information associated with the mobile device, such as those provided by Skyhook Wireless, Inc. of Boston, Mass. Hybrid positioning systems using a combination of satellite and television signals, such as those provided by Rosum Corporation of Mountain View, Calif., can also be used. Other positioning systems are possible. 
     A camera subsystem  320  and an optical sensor  322 , e.g., a charged coupled device (CCD) or a complementary metal-oxide semiconductor (CMOS) optical sensor, can be utilized to facilitate camera functions, such as recording photographs and video clips. 
     Communication functions can be facilitated through one or more wireless communication subsystems  324 , which can include radio frequency receivers and transmitters and/or optical (e.g., infrared) receivers and transmitters. The specific design and implementation of the communication subsystem  324  can depend on the communication network(s) over which the mobile device  100  is intended to operate. For example, a mobile device  100  may include communication subsystems  324  designed to operate over a GSM network, a GPRS network, an EDGE network, a Wi-Fi or WiMax network, and a Bluetooth™ network. In particular, the wireless communication subsystems  324  may include hosting protocols such that the device  100  may be configured as a base station for other wireless devices. 
     An audio subsystem  326  can be coupled to a speaker  328  and a microphone  330  to facilitate voice-enabled functions, such as voice recognition, voice replication, digital recording, and telephony functions. 
     The I/O subsystem  340  can include a touch screen controller  342  and/or other input controller(s)  344 . The touch-screen controller  342  can be coupled to a touch screen  346 . The touch screen  346  and touch screen controller  342  can, for example, detect contact and movement or break thereof using any of a plurality of touch sensitivity technologies, including but not limited to capacitive, resistive, infrared, and surface acoustic wave technologies, as well as other proximity sensor arrays or other elements for determining one or more points of contact with the touch screen  346 . 
     The other input controller(s)  344  can be coupled to other input/control devices  348 , such as one or more buttons, rocker switches, thumb-wheel, infrared port, USB port, and/or a pointer device such as a stylus. The one or more buttons (not shown) can include an up/down button for volume control of the speaker  328  and/or the microphone  330 . 
     In one implementation, a pressing of the button for a first duration may disengage a lock of the touch screen  346 ; and a pressing of the button for a second duration that is longer than the first duration may turn power to the mobile device  100  on or off. The user may be able to customize a functionality of one or more of the buttons. The touch screen  346  can, for example, also be used to implement virtual or soft buttons and/or a keyboard. 
     In some implementations, the mobile device  100  can present recorded audio and/or video files, such as MP3, AAC, and MPEG files. In some implementations, the mobile device  100  can include the functionality of an MP3 player, such as an iPod™. The mobile device  100  may, therefore, include a 36-pin connector that is compatible with the iPod. Other input/output and control devices can also be used. 
     The memory interface  302  can be coupled to memory  350 . The memory  350  can include high-speed random access memory and/or non-volatile memory, such as one or more magnetic disk storage devices, one or more optical storage devices, and/or flash memory (e.g., NAND, NOR). The memory  350  can store an operating system  352 , such as Darwin, RTXC, LINUX, UNIX, OS X, WINDOWS, or an embedded operating system such as VxWorks. The operating system  352  may include instructions for handling basic system services and for performing hardware dependent tasks. In some implementations, the operating system  352  can be a kernel (e.g., UNIX kernel). 
     The memory  350  may also store communication instructions  354  to facilitate communicating with one or more additional devices, one or more computers and/or one or more servers. The memory  350  may include graphical user interface instructions  356  to facilitate graphic user interface processing; sensor processing instructions  358  to facilitate sensor-related processing and functions; phone instructions  360  to facilitate phone-related processes and functions; electronic messaging instructions  362  to facilitate electronic-messaging related processes and functions; web browsing instructions  364  to facilitate web browsing-related processes and functions; media processing instructions  366  to facilitate media processing-related processes and functions; GPS/Navigation instructions  368  to facilitate GPS and navigation-related processes and instructions; camera instructions  370  to facilitate camera-related processes and functions; and/or other software instructions  372  to facilitate other processes and functions. 
     In some implementations, the mobile device can also include routing instructions  374 . The routing instructions  374  can be used to provide navigation guidance to a user of the mobile device. In such implementations, the routing instructions  374  can provide intelligent routing based on disfavored routes/locations, traffic, user preferences, and/or history. 
     Each of the above identified instructions and applications can correspond to a set of instructions for performing one or more functions described above. These instructions need not be implemented as separate software programs, procedures or modules. The memory  350  can include additional instructions or fewer instructions. Furthermore, various functions of the mobile device  100  may be implemented in hardware and/or in software, including in one or more signal processing and/or application specific integrated circuits. 
       FIG. 4A  is a block diagram illustrating an example implementation of a routing system (e.g., embodied in routing instructions stored in a memory). The system  400  can, for example receive multiple preferences including disfavored route progressions and/or locations from a user of a mobile device and arbitrate between competing preferences to provide the user with a route based on the preferences provided by the user. 
     In some implementations, the routing instructions, when executed, can implement a destination engine  410 , a routing engine  420 , an analysis engine  430  and a presentation engine  440 . In an implementation, the destination engine  410  can receive destination information from a user interface  450 . In various implementations, the user interface can include a graphical user interface such as could be provided by the GUI instructions and touch screen of  FIG. 3 . 
     In other implementations, the destination engine  410  can derive destination information based on historical data retrieved, for example, from a historical data store  460 . The destination engine  410  can parse the historical data to derive navigation habits. For example, a user might drive to work every day. Thus, the destination engine  410  can determine that there is a probability that a destination associated with the user is a workplace. In other implementations, the destination engine  410  can use other algorithms to derive a destination, such as a Markov chain based algorithm. In various examples, the derived destination can include multiple destinations. In such examples, the destinations can include one or more waypoints along with a final destination. In other examples, the derived destination can also take into account a parking situation associated with a destination. Thus, if a user is headed for a stadium for a sporting event, the destination engine  410  can determine that while the stadium is the ultimate destination, the user might be directed to a parking lot as a waypoint to park his/her car before going to the stadium. 
     In some implementations, the destination engine  410  utilizes date information, time information, calendar information, history information, preference information, etc. to derive destination information. Date information can include, for example, the day of the week, holiday information, etc. For example, a user might have a history of navigating to/from work on Monday through Friday, navigating to/from a grocery store on Sundays, navigating to a parent&#39;s house on Mother&#39;s Day or Father&#39;s Day, etc. 
     In some implementations, the destination engine  410  can also use the time information such as, e.g., the time of day to derive a destination. For example, on Monday morning, it is likely that a user is navigating to work, on Wednesday night it is likely that the user is navigating to a softball field for a regularly scheduled game, etc. 
     In some implementations, the destination engine  410  can use calendar information such as appointments, tasks, etc. to derive destination information. For example, a user might have a calendar entry indicating a court date on Aug. 23, 2007 at 9:00 AM, and thus it is likely that on Aug. 23, 2007 at 8:30 am, the user is navigating to a courthouse. In additional implementations, the device can pull calendar information from a variety of sources. For example, a user might keep a business calendar and a personal calendar on separate systems. The device can pull information from both systems to derive a destination. In other examples, a husband and wife might each have separate calendars and the device can derive destination information based upon both of the calendars. In examples where the calendar information conflicts, the device can determine which calendar appointment to use, for example, based upon the current user of the device. In further examples, the calendar information can be pulled from the local device itself, a favorite sports team calendar, a shared calendar, etc. 
     In some implementations, the destination engine  410  can use history information to recognize patterns, and can use preference information to determine which of a plurality of destinations the user intends (e.g., a user might indicate a preference for destination information derived from calendar information over destination information derived from date information). In some implementations, the destination engine  410  can automatically recognize patterns without user input. In other implementations, the destination engine  410  can automatically recognize navigation patterns and allow users to confirm or reject a destination through a user interface. 
     In some implementations, the routing engine  420  can derive one or more routes based on current location information and destination information. The one or more routes can be derived using existing routing technology, e.g. map overlays. Current location information of the mobile device can be obtained, for example, using a positioning system  318 . In various implementations, the positioning system  318  can be provided by a separate device coupled to the mobile device (e.g., mobile device  100  of  FIG. 1 ). In other implementations, the positioning system  318  can be provided internal to the mobile device. 
     In one implementation, the positioning system  318  can be a global positioning system (GPS) device. In other implementations, the positioning system  318  can be provided by an accelerometer and a compass using dead reckoning techniques. In such implementations, the user can occasionally reset the positioning system by marking the devices presence at a known location (e.g., landmark, intersection, etc.). In still further implementations, the positioning system  318  can be provided by using wireless signal strength and one or more locations of known wireless signal sources to provide current location. Wireless signal sources can include access points and/or cellular towers. Other positioning systems can also be used. 
     The routing engine  420  can communicate one or more derived routes to an analysis engine  430 . The analysis engine  430  can analyze the one or more routes received from the routing engine  420 . In some implementations, the one or more routes can be analyzed based on user preferences received from a preference data store  470 . Based on the complexity of a route, the route can include many route progressions. Route progressions, in some implementations, can include discrete lengths of roads which, when put together, make up a route. 
     In some implementations, the route progressions included in a route can be analyzed based upon user preferences retrieved from a preference data store  470 . User preference data, for example, might include preferences to avoid certain route progressions or location. In other examples, the preference data can indicate a user preference for types of roads, distance, traffic, traffic control devices (e.g., traffic lights, stop signs, rotaries, etc.), navigation time, preferred routes, neighborhoods, highways, restaurants, etc. In some implementations, the analysis engine can use such preferences to select among the one or more routes provided by the routing engine. 
     In those implementations that analyze route progressions based on user preferences, route information can be retrieved and used to provide input by which to weight and compare routes based on the preferences. In some implementations, route information can include disfavored route progressions or locations or disfavor preferences (e.g., disfavored types of roads, disfavored neighborhoods, disfavor for taking the same route everyday, disfavored parking places (e.g., street parking, certain parking lots, etc.). In further implementations, route information can also include a probability that a route progression will include a certain type of activity (e.g., accidents, heavy traffic) even if the route progression is not currently exhibiting that type of activity. In those implementations that include disfavored route progressions or locations or preferences, the disfavored route progressions or locations or preferences can be avoided. 
     In some implementations, the routes can be analyzed based upon the traffic information associated with route progressions included in the route. For example,  FIG. 4B  is a block diagram of a plurality of route progressions. In the example of  FIG. 4B , a first route includes progressions A, B and X, a second route includes progressions A, C, Q and Z, and a third route includes progressions A, C and E. However, route progressions M, T, R and W are not included in any of the routes according to a user preference. In those implementations using traffic preferences, the analysis engine  430  can send a request for traffic information associated with only route progressions A, B, C, E, Q, X and Z to the traffic information system  480 , while omitting route progressions M, T, R and W because those route progressions are not included in any of the identified routes. 
     In other implementations using traffic preferences, the traffic information sent to a mobile device (e.g., mobile devices  100  of  FIG. 1 ) can include a universe of traffic information including all available traffic information related to local roads. In such implementations the traffic signal can include many component parts (e.g., one for each available road), and the traffic information for the various roads can be encoded into the signal (e.g., using time division, code division, frequency division, etc.). Thus, the analysis engine  430  can parse (e.g., decode, demultiplex, etc.) the signal to obtain traffic information for a desired route progression. Thus, the mobile device might receive traffic information associated with route progressions A through Z (e.g., A, B, C, E, M, R, T, W, Q, X and Z). Based on the previous example, the analysis engine  430  can parse the traffic information to retrieve traffic related to route progressions A, B, C, E, Q, X and Z. 
     In some implementations, a user might have indicated a disfavor for route progressions M, Q and X. A routing engine  420 , for example, might have determined three routes associated with an origin and destination. A first route might include route progressions A, B and X, a second route might include route progressions A, C, Q and Z, and a third route might include route progressions A, C and E. Based upon the example disfavored routes, the analysis engine  430  can remove the first and second routes from the potential routes, and present only the third route to the user through the presentation engine  440 . 
     In other implementations, the presentation engine can reorder the presentation of all three routes based upon the analysis engine  430  results. Routes including disfavored route progressions can be listed after those routes that do not include disfavored route progressions. In those implementations including a degree of disfavor or weighting associated with the disfavored route progressions or locations or preferences, those routes including the most heavily disfavored route progressions or locations or preferences can be listed after those routes including less disfavored ones. In other implementations, a graphical representation of disfavor can be applied to presented routes. For example, a color spectrum might be applied to the route presentation, whereby green is used to depict most favorable routes, while red is used to depict most disfavored routes. 
     In some examples, routes might include more than one disfavored route progression or location. In some implementations, the route with the most heavily disfavored route progression or location can be listed after each of the other routes. In other implementations, the analysis engine  430  can derive an aggregation of disfavor associated with the entire route. For example, a first route might include a route progression rated  2  (e.g., on a scale from 1 to 10, “1” being most disfavored and “10” being slightly disfavored), while a second route might include several route progressions rated  3 . In such implementations, the analysis engine can place the second route lower in priority because the second route can be inferred to produce more total disfavor based upon the traversal of several disfavored route progressions, while the first route only includes a single disfavored route progression. However, as mentioned above, in some implementations, the second route can be listed ahead of the first route based on the fact that the lowest route progression rating associated with the second route is “3,” while the lowest route progression rating associated with the first route is “2.” 
     In further implementations, a distance associated with a route progression can be factored into the determination of whether to give priority to the first route or the second route. For example, if the route progression rated “2” associated with the first route in the above example were the same total distance as an aggregation of the several route progressions rated “3” associated with the second route in the above example, the second route could be given priority over the first route. In such an example, an aggregation of the disfavor associated with the first route would rank the first route lower than an aggregation of the disfavor associated with the second route. 
     In some implementations, the route information can include historical data. For example, historical data can include information about the average time associated with navigating a route progression. The average time associated with each of the route progressions that are included in a route can combined to provide an estimated total time to navigate the route. The route may then be compared to similarly analyzed routes based on estimated total time to navigate the other routes, which can be used to recommend a route to a user. 
     In some implementations, the average time to navigate a route progression can be dependent upon the time of day the route progression is being navigated. For example, a section of highway in a large city may be slow at 8:00 am due to rush hour, while the same section of highway might be clear at 10:00 pm. Thus, the historical data can include a time of day for which the average is to be computed. For example, the analysis engine  430  can average the five navigations taken at the closest times of day to a current time. In further implementations, recency of a navigation can be factored in to the estimation of navigation time. For example, the five most recent navigations of a road may be used to calculate an estimated navigation time associated with the route progression. In other implementations, any of these factors can be combined. For example, the time of day can be balanced with the recency of a navigation to produce the five most recent navigations which are closest in time of day to a current time of day. 
     In further implementations, the route information can include map information received from map system  490 . In these implementations, the map information can include distances associated with route progressions, traffic control devices associated with route progressions or portions of route progressions, speed limits associated with route progressions, etc. In some implementations, preferences can be provided which use map information as comparison points between potential routes. For example, if the user indicates a preference for neighborhood driving versus highway driving, the map information can be used to reorder the potential routes based upon such a user preference. The map information can therefore be used to weigh and compare routes based on the preferences. 
     The analysis engine  430  can provide one or more recommended routes to a presentation engine  440  based on user preferences from the preferences store  470 . The presentation engine  440  can communicate with a map system  490  to retrieve map information. In some implementations, the map system  490  can be provided, for example, by a navigation service (e.g., navigation service  230  of  FIG. 2 ). In other implementations, the map system  490  can be provided by a map store residing on the mobile device (e.g., mobile device  100  of  FIG. 1 ). The presentation engine  440  uses map information provided by the map system  490  to overlay the recommended route information based on user preferences. In examples where multiple routes are provided to the user, the presentation engine  440  can receive a route preference from the user and display the preferred route. 
     In some implementations, the routing engine  420  can continue to analyze a current route to monitor for changing conditions. For example, an accident between the start of navigation of a route and the end of navigation of the route can change the analysis associated with the recommendation of the current route. In such situations, the routing engine  420  and analysis engine  430  can calculate estimated navigation times associated with alternative routes. In some implementations, the routing engine  420  and the analysis engine  430  can automatically communicate a new route to the user through the presentation engine  440 . Such automatic rerouting can be provided to the user with notification of the change or without notification of the change to the user. In other implementations, the routing engine  420  and analysis engine  430  can present the estimated navigation times associated with alternative routes to the user through the presentation engine  440 . The user can then choose an alternative route based upon the estimated navigation times. The user&#39;s choice, in various implementations, can be indicated by selecting a route using an I/O device (e.g., touch screen  346  of  FIG. 3 ), or by navigating one of the alternative routes, among others. 
       FIG. 5  is a block diagram illustrating an example implementation of a preferences engine  376 . The preferences engine  376  can receive preferences from a user through a user interface  450 . The preferences engine  376  can be configured to receive preferences on a variety of different topics. In various implementations, the preferences engine  376  can be configured to receive preferences regarding disfavored routes or locations  500  and other preferences  510 . 
     A disfavored routes or locations preference  500  can include a user&#39;s preferences with respect to the user&#39;s desire to avoid certain routes or cities. In some implementations, desire to avoid certain routes or locations can be rated on a non-binary scale. In some implementations, the user preference can include a strength associated with the traffic preferences  500 . The strength, for example, could be a metric of how strongly a user holds a preference (e.g., on a scale from 1 to 10, how strongly they feel). In some implementations, disfavored routes or locations can include those routes or locations to which the user has negative preferences. For example, a user might be afraid of heights, and therefore wants to avoid route progressions that include high bridges (e.g., the Golden Gate Bridge in San Francisco, Calif.). In other examples, the user might want to avoid urban areas (e.g., large cities). 
     In some implementations, the user can provide input to the preferences engine  376  specifying those routes or areas that the user wants to avoid. For example, the user can use a user interface to enter locations or streets that the user wants to avoid. In some implementations, the user can provide input to the preferences engine based upon his or her adherence to a presented route. For example, if a user consistently deviates from a presented route at a certain location or route progression, the preferences engine can use this information as input specifying a disfavor with a route progression or location. In other implementations, the preferences engine  376  can analyze historical route information to identify routes or locations avoided by the user. For example, a preferences engine can analyze frequency of use associated with a street or location to determine which streets or locations a user tends to avoid. 
     In further implementations, a weighting can be applied to a disfavored route progression or location  500  based upon the extent to which a user goes to avoid a route or location. In some implementations, the preferences engine  376  can associate a route progression or location that has never been visited with a neutral rating, inferring that the user might not be familiar with the route progression or location rather than consciously avoiding the route progression or location. In these implementations, the preferences engine  376  can infer that a route progression or location visited only a few times in association with a commonly traveled route is disfavored. Such an inference can be based upon the ratio of the number of times the route has been traveled and not included the route progression. In other implementations, a disfavor preference  500  can be associated with route progressions or locations never visited. 
     By way of example, if a route from a first location to a second location has been traveled a hundred times, and included a third location only 4 times, an inference can be made that the user disfavors the third location. However, if for example, the route from the first location to the second location had only been traveled ten times, and included the third location four times, the third location is likely not disfavored. In some implementations a weighting associated with the disfavor of a route progression or location  500  can be set based upon the ratio between usage of a routes progressions/locations during a route and the total number of times the route has been traversed (e.g., excluding route progressions/locations that have never been used/visited). 
     In still further implementations, routing instructions (e.g., routing instructions  374  of  FIG. 4A ) can identify when a user avoids a route progression presented by the routing instructions and notify the preferences engine  376 . In such implementations, the preferences engine  376  can infer from the user&#39;s rejection of the route progression that the user does not favor the route progression or location included within the route provided by the routing instructions. In those implementations including a weighting associated with a disfavored route progression or location  500 , the preference engine  376  can infer that the avoidance of a route progression or location during presentation of a route is an indication that the route progression or location should be more heavily disfavored in comparison to other derivations of disfavored route progressions or locations  500 . 
     Other preferences  510  can include many different types of preferences including: traffic preferences, road preferences, scenery preferences, traffic control device preferences, services preferences, city preferences, or speed preferences, new route preferences, among many others. 
     In those implementations including a strength associated with a user preference, the analysis engine (e.g., analysis engine  430  of  FIG. 4A ) can use the strength to weight the route progressions and use the weighted route progressions to compare routes. For example, the user&#39;s desire to avoid traffic can be rated on a scale from 1 to 10, with a rating of “1” corresponding to a highly disfavored route progression or location, and a rating of “10” corresponding to a slightly disfavored route progression or location. In examples where the user indicates a strong disfavor for a route progression or location, the analysis engine can weight the route progressions with higher disfavor more negatively than those with slight disfavor, thereby making it more likely that an analysis engine (e.g., analysis engine  430 ) will recommend routes having slight disfavor or no disfavor at all. However, in the implementations that include multiple preferences associated with the user, the strengths of other preferences could outweigh other preferences depending on a strength associated with the other preferences. 
     In some implementations, a group of users can rate a route progression in several categories. The route progression can be assigned a score based on the user ratings. In other implementations, route progressions can be assigned scores based on the individual route progression&#39;s popularity among users that have indicated a strong preference for a certain kind of route progression. For example, if a user or group of users indicate a strong preference for scenic roads, and each uses a certain road more frequently in comparison to other roads, the system can assign a high scenery score to the road. In still further implementations, the route progressions can be rated automatically based on measurable statistics. For example, traffic information can identify which route progression is the worst for traffic based upon the average speed associated with the road, or based upon a delta between average speed and speed limit. Similarly, the best route progression for traffic can be identified based on the average speed associated with the road, or based upon a delta between average speed and the speed limit. The worst route progression can be assigned the lowest possible score, and the best route progression can be assigned the highest possible score, while other route progressions are assigned scores which are scaled based upon the high and low scales. Such automatic scoring can be performed where there is an objective measure by which to compare route progressions. 
       FIG. 6  is a flowchart illustrating an example method for route guidance. At stage  600  disfavored route progressions or locations or preferences are received. Disfavored route progressions or locations can be received, for example, by a preferences engine (e.g., preferences engine  376  of  FIG. 5 ) in conjunction with a user interface (e.g., user interface  450  of  FIG. 5 ). The disfavored route progressions or locations can include, for example, any route progressions or locations indicated by the user (e.g., through a user interface, frequency of use, avoidance of presented routes, etc.). 
     At stage  610  the destination is identified. The destination can be identified, for example, by a destination engine (e.g., destination engine  410  of  FIG. 4 ). In some implementations, the destination engine can identify destination information from user input received using a user interface (e.g., user interface  450  of  FIG. 4 ). In such implementations, the user can provide destination information to a mobile device (e.g., mobile device  100  of  FIG. 1 ). In other implementations, the destination engine can identify destination information based on historical data retrieved from a history data store (e.g., history data store  460  of  FIG. 4 ). For example, the destination engine can mine the historical data to automatically derive navigation patterns based on such variables as day, time of day, holiday, and user calendar, among many others. In still further examples, the destination engine can identify destination information based on a combination of user input and historical information. For example, the destination engine can use the user interface to prompt the user to select a destination from among a group of destinations derived based on the historical data. 
     At stage  620 , routes associated with the destination are identified. The routes can be identified, for example, using a routing engine (e.g., routing engine  420 ). In some implementations, the routing engine can receive position information from a positioning system (e.g., positioning system  318  of  FIG. 4 ). The positioning information can be used as a starting point for the routing engine. In some implementations, the routing engine can use a navigation service (e.g., navigation service  230  of  FIG. 2 ) to derive one or more routes. In other implementations, the routing engine can use GPS/navigation instructions  368  to derive one or more routes. 
     At stage  630 , the route is analyzed based on disfavored route progressions or locations or preferences. The route can be analyzed, for example, using an analysis engine (e.g., analysis engine  430  of  FIG. 4 ). The analysis can retrieve disfavored route progressions or locations from a preferences store (e.g., preferences store  470  of  FIG. 4 ) and use the preferences to weight the route progressions included in the identified routes. The weighted route progressions can be used to rearrange the identified routes based on the user preferences. In some implementations, the analysis can retrieve route information from several different sources (e.g., history data store  460 , traffic information system  480 , map system  490 , of  FIG. 4 ) to use in conjunction with the preference information. 
     At stage  640 , a route is presented. The route can be presented, for example, by a presentation engine (e.g., presentation engine  440 ) to a user of a mobile device. The presented route can be overlaid onto a map provided by a navigation system (e.g., map system  490  of  FIG. 4 , or navigation services  230  of  FIG. 2 ). In other implementations, the route can be overlaid on a map provided by a local map data store. In some implementations, the map includes a number of road representations. In further implementations, the road representations, for example, can be overlaid by route information associated with respective route progressions. The presentation of the route can enable a user of the mobile device to navigate from a current position to a destination. 
       FIG. 7  is a flowchart illustrating another example method for route guidance. At stage  700  user preferences are received. Preferences can be received, for example, by a preferences engine (e.g., preferences engine  376  of  FIG. 5 ) in conjunction with a user interface (e.g., user interface  450  of  FIG. 5 ). The preferences can include, for example, disfavored route progressions or locations as well as other preferences. In various implementations, other preferences can include traffic preferences, road preferences, scenery preferences, traffic control device preference, services preferences, city preferences, speed preferences, or other preferences. Disfavored route progressions can include, for example, streets that the user does not want to take for some reason (e.g., a road that is in disrepair, etc.). Disfavored locations can include, for example, areas that the user wants to avoid (e.g., industrial areas, areas with high traffic, etc.). In some implementations, disfavored route progressions and/or locations can be disfavored dependent on a time of day. For example, a user might dislike driving on a particular road or through a particular area at night, while not disfavoring the road or area during the daytime. In further implementations, there can be multiple sets of preferences, each set of preferences being associated with a particular user of the device. In such implementations, the device can provide route guidance based upon the particular user who is logged into the system. 
     In some implementations, the preferences can be received directly from a user. For example, a user can use a user interface to enter his or her disfavored roads and/or areas. In other implementations, the preferences can be derived based upon the user&#39;s actions during previous route guidance. For example, if a user consistently refuses to follow a presented route, the device can determine that the user disfavors the route progression and/or location where he/she deviated from the route. In some implementations, the disfavor can be time-based. For example, a user might heavily disfavor a route progression in the morning, but favor the route progression at night. In other implementations, the preferences can be derived based upon historical data. For example, if a user travels from home to work every day for a year, and has used a particular road on that trip only once, a preference engine can derive that the user disfavors that road or area associated with the road. In some implementations, a combination of user input, deviation from route guidance and/or derivation from historical data can be used to determine preferences. 
     At stage  710  the destination is received/identified. The destination can be received, for example, by a destination engine (e.g., destination engine  410  of  FIG. 4 ). In various implementations, the destination engine can operate based on user input received using a user interface (e.g., user interface  450  of  FIG. 4 ), or can automatically derive a destination based on historical data, and combinations thereof. 
     At stage  720 , routes associated with the destination are identified. The routes can be identified, for example, using a routing engine (e.g., routing engine  420 ). In some implementations, the routing engine can receive position information from a positioning system (e.g., positioning system  318  of  FIG. 4 ). The positioning information can be used as a starting point for the routing engine, and the routing engine can use a navigation service (e.g., navigation service  230  of  FIG. 2 ) to derive one or more routes. In other implementations, the routing engine can use GPS/navigation instructions  368  to derive one or more routes. 
     At stage  730 , the route is analyzed based on user preferences. The route can be analyzed, for example, using an analysis engine (e.g., analysis engine  430  of  FIG. 4 ) in conjunction with preference information retrieved from a preference store (e.g., preferences store  470  of  FIG. 4 ). In some implementations, the analysis can receive several different routes and prioritize the routes based on the received user preferences, including, for example, disfavored route progressions and/or locations. In some implementations, the analysis engine can reorder the presentation of a plurality of identified routes based on analysis of the route progressions with respect to the user preferences. 
     At stage  740 , a route is presented. The route can be presented, for example, by a presentation engine (e.g., presentation engine  440 ) to a user of a mobile device. The route can be presented in any of the ways discussed with reference to  FIG. 6 . 
     At stage  750 , a determination can be made whether a destination has been reached. The determination can be made, for example, by an analysis engine (e.g., analysis engine  430  of  FIG. 4 ) in conjunction with a positioning system (e.g., positioning system  318  of  FIG. 4 ). Where the destination has been reached, the process ends at stage  760 . 
     If the destination has not been reached, the method can return to stage  720 , where alternative routes including a plurality of route progressions are retrieved. The route progressions associated with the alternative routes can then be analyzed, and one or more alternative routes are presented to a user based on the analysis (e.g., an accident, traffic build-up, traffic clearing up, time of day dependencies elapsing, etc.). Thus, a mobile device (e.g., mobile device  100  of  FIG. 1 ) can reroute the user based on changing road conditions. In some implementations, an alternative route is automatically presented to the user without notification, and replaces the current route. In other implementations, a user can be notified that another route might be preferable, and the estimated navigation times associated with both routes can be compared and the user can decide whether to continue on a current route, or to take an alternative route. 
     The systems and methods disclosed herein may use data signals conveyed using networks (e.g., local area network, wide area network, internet, etc.), fiber optic medium, carrier waves, wireless networks (e.g., wireless local area networks, wireless metropolitan area networks, cellular networks, etc.), etc. for communication with one or more data processing devices (e.g., mobile devices). The data signals can carry any or all of the data disclosed herein that is provided to or from a device. 
     The methods and systems described herein may be implemented on many different types of processing devices by program code comprising program instructions that are executable by one or more processors. The software program instructions may include source code, object code, machine code, or any other stored data that is operable to cause a processing system to perform methods described herein. 
     The systems and methods may be provided on many different types of computer-readable media including computer storage mechanisms (e.g., CD-ROM, diskette, RAM, flash memory, computer&#39;s hard drive, etc.) that contain instructions for use in execution by a processor to perform the methods&#39; operations and implement the systems described herein. 
     The computer components, software modules, functions and data structures described herein may be connected directly or indirectly to each other in order to allow the flow of data needed for their operations. It is also noted that software instructions or a module can be implemented for example as a subroutine unit of code, or as a software function unit of code, or as an object (as in an object-oriented paradigm), or as an applet, or in a computer script language, or as another type of computer code or firmware. The software components and/or functionality may be located on a single device or distributed across multiple devices depending upon the situation at hand. 
     This written description sets forth the best mode of the invention and provides examples to describe the invention and to enable a person of ordinary skill in the art to make and use the invention. This written description does not limit the invention to the precise terms set forth. Thus, while the invention has been described in detail with reference to the examples set forth above, those of ordinary skill in the art may effect alterations, modifications and variations to the examples without departing from the scope of the invention. 
     These and other implementations are within the scope of the following claims.

Metadata:
Filing Date: 20080125
Publication Date: 20130226
Grant Date: 20130226
Priority Date: 20070628
Inventors: FORSTALL SCOTT
CHRISTIE GREGORY N.
BORCHERS ROBERT E.
TIENE KEVIN
Assignee: APPLE INC
CPC Classifications: [{"code": "G01C21/34", "inventive": false, "first": false, "tree": "[]"}, {"code": "G01C21/362", "inventive": false, "first": false, "tree": "[]"}, {"code": "G01C21/26", "inventive": true, "first": true, "tree": "[]"}, {"code": "G01C21/3617", "inventive": true, "first": false, "tree": "[]"}, {"code": "G01C21/26", "inventive": true, "first": true, "tree": "[]"}, {"code": "G01C21/3484", "inventive": true, "first": false, "tree": "[]"}, {"code": "G01C21/3453", "inventive": true, "first": false, "tree": "[]"}]
Family ID: 40161235