Autonomous vehicle public transportation system

Yun Sang Albert LAM, Yiu Wing LEUNG, Xiaowen CHU

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

10 Citations (Scopus)

Abstract

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, we 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. We formulate the scheduling problem with a mixed-integer program. We study the system performance with a typical artificial scenario. Our results show that ride sharing can effectively lower the operational cost and an increase of the vehicular capacity can further enhance the system performance.

Original languageEnglish
Title of host publication2014 International Conference on Connected Vehicles and Expo, ICCVE 2014 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages571-576
Number of pages6
ISBN (Electronic)9781479967292
DOIs
Publication statusPublished - 2014
Event3rd International Conference on Connected Vehicles and Expo, ICCVE 2014 - Vienna, Austria
Duration: 3 Nov 20147 Nov 2014

Publication series

Name2014 International Conference on Connected Vehicles and Expo, ICCVE 2014 - Proceedings

Conference

Conference3rd International Conference on Connected Vehicles and Expo, ICCVE 2014
Country/TerritoryAustria
CityVienna
Period3/11/147/11/14

Scopus Subject Areas

  • Computer Networks and Communications
  • Automotive Engineering
  • Control and Systems Engineering
  • Transportation

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