Patent application EP18170756A (EP), filed 2018-05-04
Publication number: EP3564623A1
Title: HYBRID METHOD AND SYSTEM FOR DEPARTURE TIME PREDICTION
Abstract: [0001]    A method and system for determining a predicted departure time of a user of a vehicle is disclosed. The method comprises determining, based on a user data set indicative of a plurality of trips made by the user: first data indicative of trip segment information, second data indicative of trip destinations, and third data indicative of semantic trip properties, determining, based on the first, second, and/or third data: fourth data indicative of a destination arrival behavior, fifth data indicative of a stay duration at a destination, and sixth data indicative of a departure behavior, determining, based on the fourth, fifth, and/or sixth data, the predicted departure time of the user. A system comprising a control unit configured for performing the method and a vehicle comprising the system are also disclosed.
IPC codes: G06F  17/    00            A I
G06N   5/    00            A I
G06N   7/    00            A I
G06Q  10/    00            A I
G06Q  30/    00            A I
G06Q  50/    00            A I
G01C  21/    34            A I
G01C  21/    36            A I
G06N  20/    00            A I
G06N   5/   025            A I
G06Q  10/    04            A I
G06Q  10/    10            A I
G06Q  30/  0202            A I
Claims: number: 1
text: Method for determining a predicted departure time of a user of a vehicle, the method comprising:
number: 2
text: Method of the preceding claim, wherein the plurality of trips made by a user determined based on the user data is represented in the form of a plurality of entries:
{Weekday, time, Start -> Destination}.
number: 3
text: Method of any one of the preceding claims, wherein determining the predicted departure time includes one of:
number: 4
text: Method of any one of the preceding claims, wherein determining the predicted departure time of the user further comprises:
determining one or more pairs of predicted departure times and associated reliability indicators, wherein determining the predicted departure time of the user is further based on the one or more pairs of predicted departure times and associated reliability indicators.
number: 5
text: The method of any one of the preceding claims, further comprising:
number: 6
text: Method of the preceding claim, wherein the plurality of significant locations is determined based on a hierarchical clustering algorithm.
number: 7
text: Method of any one of the preceding claims, wherein:
number: 8
text: Method of any one of the preceding claims, wherein:
number: 9
text: Method of the preceding claim, wherein the first, second, and/or third data are further determined based on a crowd data set indicative of a plurality of trips made by a plurality of users.
number: 10
text: System for determining a predicted departure time of a user of a vehicle, the system comprising a control unit configured for performing the method of any one of the preceding claims.
number: 11
text: Vehicle comprising a system according to the preceding claim.
Office action: search_report, dated 2019-11-06
Rejection reasons: novelty_epc_54
Prior art cited: ref_id: US2011071881A1
ref_type: patent
severity: background
ref_id: US7610145B2
ref_type: patent
severity: background
ref_id: US2013297551A1
ref_type: patent
severity: background
ref_id: US6256577B1
ref_type: patent
severity: background
ref_id: US7233861B2
ref_type: patent
severity: background
ref_id: US2016321551A1
ref_type: patent
severity: background
ref_id: US2014358437A1
ref_type: patent
severity: background
ref_id: US2013252633A1
ref_type: patent
severity: background
ref_id: US2016364645A1
ref_type: patent
severity: background
ref_id: US2013252633
ref_type: patent
severity: background
ref_id: US2014358437
ref_type: patent
severity: novelty_destroying
ref_id: US2016321551
ref_type: patent
severity: novelty_destroying
ref_id: US2016364645
ref_type: patent
severity: background
Final disposition: pending (2019-11-06)