@inproceedings{10ccfa5ecd6d4c0aa67e0bf2e951f66d,
title = "DoppelDriver: Counterfactual actual travel times for alternative routes",
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 = "Crowdsourcing, navigation systems, participatory sensing, route choice, travel time, Vehicular computing",
author = "Daehan Kwak and Daeyoung Kim and Ruilin Liu and Badri Nath and Liviu Iftode",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; null ; Conference date: 23-03-2015 Through 27-03-2015",
year = "2015",
month = jul,
day = "1",
doi = "10.1109/PERCOM.2015.7146525",
language = "English",
series = "2015 IEEE International Conference on Pervasive Computing and Communications, PerCom 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "178--185",
booktitle = "2015 IEEE International Conference on Pervasive Computing and Communications, PerCom 2015",
}