DoppelDriver: Counterfactual actual travel times for alternative routes

Daehan Kwak, Daeyoung Kim, Ruilin Liu, Badri Nath, Liviu Iftode

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

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.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Pervasive Computing and Communications, PerCom 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages178-185
Number of pages8
ISBN (Electronic)9781479980338
DOIs
StatePublished - 1 Jul 2015
Event13th IEEE International Conference on Pervasive Computing and Communications, PerCom 2015 - St. Louis, United States
Duration: 23 Mar 201527 Mar 2015

Publication series

Name2015 IEEE International Conference on Pervasive Computing and Communications, PerCom 2015

Conference

Conference13th IEEE International Conference on Pervasive Computing and Communications, PerCom 2015
Country/TerritoryUnited States
CitySt. Louis
Period23/03/1527/03/15

Keywords

  • Crowdsourcing
  • navigation systems
  • participatory sensing
  • route choice
  • travel time
  • Vehicular computing

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