Reference number : GC-2017-Q3-00623, amendment number : , agreement type : G, recipient legal name : Raahemi, Bijan (University of Ottawa)|Raahemi, Bijan (Université d’Ottawa), recipient country : CA, recipient province : nan, recipient city : Ontario, recipient postal code : nan, program name english : Engage Grants for universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : Traffic congestion in major cities significantly contributes to delays for the public as well as for businesses that rely heavily on road_x000D_
transportation of goods and services. It is clearly understood that public transportation is the most import mode of travel to reduce_x000D_
traffic congestion and make efficient use of existing roads. As traffic congestion is increasing rapidly, public transportation is_x000D_
getting more attention and major cities are investing more on public transportation. To encourage greater use of public_x000D_
transportation and to switch from private vehicles, this mode of transportation must be well-designed, reliable and comfortable._x000D_
Among different factors, transit passengers OriginDestination (OD) data is a fundamental prerequisite for the design and efficient_x000D_
operation of any public transportation system. However, obtaining this data is problematic and expensive in general, especially in_x000D_
large cities with widespread public transport routes. The aim of this project is to develop a technology to anonymously collect and_x000D_
analyse bus passengers OD data in real-time based on detection of passengers cell phones Wi-Fi and Bluetooth signals. The_x000D_
developed algorithms will result in increased efficiency of public transportation systems of cities and towns by efficiently using the_x000D_
bus capacities lowering operation costs of cities, shortening passengers wait time, and improving the ride comfort., program purpose french : Traffic congestion in major cities significantly contributes to delays for the public as well as for businesses that rely heavily on road_x000D_
transportation of goods and services. It is clearly understood that public transportation is the most import mode of travel to reduce_x000D_
traffic congestion and make efficient use of existing roads. As traffic congestion is increasing rapidly, public transportation is_x000D_
getting more attention and major cities are investing more on public transportation. To encourage greater use of public_x000D_
transportation and to switch from private vehicles, this mode of transportation must be well-designed, reliable and comfortable._x000D_
Among different factors, transit passengers OriginDestination (OD) data is a fundamental prerequisite for the design and efficient_x000D_
operation of any public transportation system. However, obtaining this data is problematic and expensive in general, especially in_x000D_
large cities with widespread public transport routes. The aim of this project is to develop a technology to anonymously collect and_x000D_
analyse bus passengers OD data in real-time based on detection of passengers cell phones Wi-Fi and Bluetooth signals. The_x000D_
developed algorithms will result in increased efficiency of public transportation systems of cities and towns by efficiently using the_x000D_
bus capacities lowering operation costs of cities, shortening passengers wait time, and improving the ride comfort., agreement title english : Estimating Bus Passengers' Origin Destination Travel Route using Data Analytics on Wi-Fi and_x000D_
Bluetooth Signals, agreement title french : Estimating Bus Passengers' Origin Destination Travel Route using Data Analytics on Wi-Fi and_x000D_
Bluetooth Signals, agreement number : EGP, agreement value : 25000.0, agreement start date : 2017-10-18, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year (2017-2018 to 2018-2019)., additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019)., owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada