DocumentCode :
718184
Title :
DoppelDriver: Counterfactual actual travel times for alternative routes
Author :
Daehan Kwak ; Daeyoung Kim ; Ruilin Liu ; Nath, Badri ; Iftode, Liviu
Author_Institution :
Dept. of Comput. Sci., Rutgers Univ., Piscataway, NJ, USA
fYear :
2015
fDate :
23-27 March 2015
Firstpage :
178
Lastpage :
185
Abstract :
“What would have happened, had I taken the alternative route?” This is a question that many drivers often ponder, hoping that their chosen route is the best. This paper proposes DoppelDriver, a system that attempts to answer such questions on non-chosen alternative routes to a given destination by determining actual times of arrival (ATAs) from participatory users on the non-chosen routes. DoppelDriver offers a direct, actual travel time comparison among route choices. With DoppelDriver´s collection of actual travel time comparisons, users will be able to make strategic decisions on, and self-assessments of, their route choices. Also, we describe the potential usage and benefits of ex-post feedback (i.e. travel time on non-chosen routes) and how snapshots of travel time comparisons can be used to support strategic decision making on the choice of a route. Using real taxi GPS data, we investigate whether aggregating ATAs for road segments from other users mimics the ATA for the intended origin-to-destination route. Finally, we present our system design for a prototype implemented on the Android platform.
Keywords :
decision making; decision support systems; driver information systems; intelligent transportation systems; road traffic; smart phones; vehicle routing; ATA; Android platform; DoppelDriver; actual times-of-arrival; counterfactual actual travel times; ex-post feedback; intelligent transportation systems; nonchosen alternative routes; origin-to-destination route; real taxi GPS data; road segments; strategic decision making support; traffic congestion; Conferences; Decision making; Global Positioning System; Real-time systems; Roads; Vehicles; crowdsourcing; navigation systems; participatory sensing; route choice; travel time; vehicular computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Computing and Communications (PerCom), 2015 IEEE International Conference on
Conference_Location :
St. Louis, MO
Type :
conf
DOI :
10.1109/PERCOM.2015.7146525
Filename :
7146525
Link To Document :
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