Autonomous Vehicle Public Transportation System
Under active research, technology of autonomous vehicles (AVs) is getting mature and many AVs will run on the roads in the near future. With the support of vehicular ad-hoc network, AVs become connected. The ability of high degree of control allows AVs to respond to instantaneous situations cooperatively with high efficiency and flexibility. In this paper, the authors propose a new public transport offering point-to-point services with ride sharing. It manages a fleet of AVs to accommodate a number of transportation requests. Due to the unmanned nature, AVs operate by following the routes instructed by the control center of the system. With proper scheduling, the control center assigns the transportation requests to appropriate AVs in order to minimize the total operational cost. The authors formulate the scheduling problem with a mixed-integer program. The authors study the system performance with a typical artificial scenario. The authors results show that ride sharing can effectively lower the operational cost and an increase of the vehicular capacity can further enhance the system performance.
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Supplemental Notes:
- Copyright © 2014, IEEE.
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Corporate Authors:
Institute of Electrical and Electronics Engineers (IEEE)
3 Park Avenue, 17th Floor
New York, NY United States 10016-5997 -
Authors:
- Lam, Albert Y S
- Leung, Yiu-Wing
- Chu, Xiaowen
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Conference:
- 2014 International Conference on Connected Vehicles and Expo (ICCVE)
- Location: Vienna , Austria
- Date: 2014-11-3 to 2014-11-7
- Publication Date: 2015
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 571-576
- Monograph Title: 2014 International Conference on Connected Vehicles and Expo (ICCVE)
Subject/Index Terms
- TRT Terms: Autonomous vehicle guidance; Control systems; Mixed integer programming; Mobile communication systems; Public transit; Ridesharing; Schedules; Vehicle sharing; Vehicular ad hoc networks
- Subject Areas: Highways; Public Transportation; Vehicles and Equipment;
Filing Info
- Accession Number: 01617248
- Record Type: Publication
- ISBN: 9781479967308
- Files: TRIS
- Created Date: Nov 21 2016 1:42PM