File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: Autonomous vehicle public transportation system

TitleAutonomous vehicle public transportation system
Authors
Issue Date2014
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1802714
Citation
The 3rd International Conference on Connected Vehicles and Expo (ICCVE 2014), Vienna, Austria, 3-7 November 2014. In Conference Proceedings, 2014, p. 571-578 How to Cite?
AbstractUnder 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.
Persistent Identifierhttp://hdl.handle.net/10722/217382
ISBN

 

DC FieldValueLanguage
dc.contributor.authorLam, AYS-
dc.contributor.authorLeung, YW-
dc.contributor.authorChu, X-
dc.date.accessioned2015-09-18T05:58:02Z-
dc.date.available2015-09-18T05:58:02Z-
dc.date.issued2014-
dc.identifier.citationThe 3rd International Conference on Connected Vehicles and Expo (ICCVE 2014), Vienna, Austria, 3-7 November 2014. In Conference Proceedings, 2014, p. 571-578-
dc.identifier.isbn978-1-4799-6729-2-
dc.identifier.urihttp://hdl.handle.net/10722/217382-
dc.description.abstractUnder 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.-
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1802714-
dc.relation.ispartofInternational Conference on Connected Vehicles and Expo (ICCVE)-
dc.rightsInternational Conference on Connected Vehicles and Expo (ICCVE). Copyright © IEEE.-
dc.rights©2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.titleAutonomous vehicle public transportation system-
dc.typeConference_Paper-
dc.identifier.emailLam, AYS: ayslam@eee.hku.hk-
dc.identifier.authorityLam, AYS=rp02083-
dc.description.naturelink_to_OA_fulltext-
dc.identifier.doi10.1109/ICCVE.2014.7297613-
dc.identifier.hkuros254223-
dc.identifier.spage571-
dc.identifier.epage578-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 151109-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats