Optimizing taxiing with detours by using traffic dynamics and driving habits

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

科研成果: 书/报告/会议事项章节会议稿件同行评审

4 引用 (Scopus)

摘要

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.

源语言英语
主期刊名UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing
出版商Association for Computing Machinery, Inc
29-32
页数4
ISBN(电子版)9781450344623
DOI
出版状态已出版 - 12 9月 2016
活动2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016 - Heidelberg, 德国
期限: 12 9月 201616 9月 2016

出版系列

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

会议

会议2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016
国家/地区德国
Heidelberg
时期12/09/1616/09/16

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