An Agent-based Simulation for Shared Automated Electric Vehicles with Vehicle Relocation

Li Li, Dian Chao Lin, Theodoros Pantelidis, Joseph Chow, Saif Eddin Jabari

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

Abstract

This paper presents a new vehicle relocation strategy for shared automated electric vehicles (SAEVs). An agent-based modeling methodology is employed. We consider two types of agents: SAEV agents and customer agents. SAEVto-customer assignment rules and SAEV relocation rules are both defined. The proposed approach allows for charging of SAEVs while en route to rebalancing stations. Treating charging stations as waypoints constitutes a significant departure from present techniques. Simulation results confirm the improvements in performance of an SAEV system with en route relocation when compared to no relocation, in terms of reductions in average waiting times and lost customers.

Original languageEnglish (US)
Title of host publication2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3308-3313
Number of pages6
ISBN (Electronic)9781538670248
DOIs
StatePublished - Oct 2019
Event2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019 - Auckland, New Zealand
Duration: Oct 27 2019Oct 30 2019

Publication series

Name2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019

Conference

Conference2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019
CountryNew Zealand
CityAuckland
Period10/27/1910/30/19

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Keywords

  • Agent-based simulation
  • Electric vehicle charging
  • Lost customers
  • Shared automated vehicles
  • Vehicle relocation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Management Science and Operations Research
  • Instrumentation
  • Transportation

Cite this

Li, L., Lin, D. C., Pantelidis, T., Chow, J., & Jabari, S. E. (2019). An Agent-based Simulation for Shared Automated Electric Vehicles with Vehicle Relocation. In 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019 (pp. 3308-3313). [8917253] (2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITSC.2019.8917253