A Zone-based Dynamic Queueing Model and Maximum-stability Dispatch Policy for Shared Autonomous Vehicles

Te Xu, Michael W. Levin, Maria Cieniawski

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

Shared autonomous vehicle services (SAVs) is a fleet of the autonomous taxi that provide point-to-point transportation services for travelers, which may reshape the transportation market. However, the number of waiting passengers could become arbitrarily large when the feet size is too small for travel demand, which causes an unstable network. This study designs a dynamic queuing model for waiting passengers and provides a maximum stability dispatch policy for SAVs which can stabilize the network when the average waiting passenger is bounded in expectation.

Original languageEnglish (US)
Title of host publication2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3827-3832
Number of pages6
ISBN (Electronic)9781728191423
DOIs
StatePublished - Sep 19 2021
Event2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021 - Indianapolis, United States
Duration: Sep 19 2021Sep 22 2021

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Volume2021-September

Conference

Conference2021 IEEE International Intelligent Transportation Systems Conference, ITSC 2021
Country/TerritoryUnited States
CityIndianapolis
Period9/19/219/22/21

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

Fingerprint

Dive into the research topics of 'A Zone-based Dynamic Queueing Model and Maximum-stability Dispatch Policy for Shared Autonomous Vehicles'. Together they form a unique fingerprint.

Cite this