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Optimizing taxiing with detours by using traffic dynamics and driving habits

  • Huihui Chen
  • , Bin Guo
  • , Zhiwen Yu
  • , Alvin Chin
  • , Chao Chen

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

4 Scopus citations

Abstract

Traffic jams in cities decrease the efficiency of taxiing, thus lower the profit of per unit time of taxi drivers. This paper proposes an app running on drivers' smartphones that recommends detour routes in order to optimize the taxiing performance. We formulate the problem to maximize the profit of a driver with constraints on charging the passenger according to the normal route, and saving the taxiing time. Considering the driving habits, we propose a solution to search the optimal route based on the information of the traffic dynamics and fuel consumption estimation.

Original languageEnglish
Title of host publicationUbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing
PublisherAssociation for Computing Machinery, Inc
Pages29-32
Number of pages4
ISBN (Electronic)9781450344623
DOIs
StatePublished - 12 Sep 2016
Event2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016 - Heidelberg, Germany
Duration: 12 Sep 201616 Sep 2016

Publication series

NameUbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Conference

Conference2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016
Country/TerritoryGermany
CityHeidelberg
Period12/09/1616/09/16

Keywords

  • Detour Recommendation
  • Economical Route
  • Smart Phone

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