TY - GEN
T1 - DoppelDriver
T2 - 13th IEEE International Conference on Pervasive Computing and Communications, PerCom 2015
AU - Kwak, Daehan
AU - Kim, Daeyoung
AU - Liu, Ruilin
AU - Nath, Badri
AU - Iftode, Liviu
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/7/1
Y1 - 2015/7/1
N2 - '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.
AB - '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.
KW - Crowdsourcing
KW - Vehicular computing
KW - navigation systems
KW - participatory sensing
KW - route choice
KW - travel time
UR - http://www.scopus.com/inward/record.url?scp=84942627190&partnerID=8YFLogxK
U2 - 10.1109/PERCOM.2015.7146525
DO - 10.1109/PERCOM.2015.7146525
M3 - Conference contribution
AN - SCOPUS:84942627190
T3 - 2015 IEEE International Conference on Pervasive Computing and Communications, PerCom 2015
SP - 178
EP - 185
BT - 2015 IEEE International Conference on Pervasive Computing and Communications, PerCom 2015
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 23 March 2015 through 27 March 2015
ER -