Optimal Incentive Design for One-Way EV Car Sharing System

Shun Sasaki, Toru Namerikawa

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

Abstract

This paper deals with an optimal control and scheduling algorithm for one-way car sharing systems. One of the most critical problems of one-way car sharing system is that the parking lots, which tends to be the origins and the destinations, are biased due to the traffic demand of the users, and the cost of relocating the vehicles is becoming high. In order to solve this cost problem, we propose a novel mechanism to give incentives to users in the form of discounts and propose changes to parking lots and departure times to prevent bias in the number of vehicles in parking lots. The optimal parking lot is determined by using a queue information in order to consider the traffic demand distribution of users. Furthermore, an incentive is designed so as to satisfy desirable properties based on VCG mechanism. Finally, the effectiveness of the proposed method is confirmed via several numerical simulations.

Original languageEnglish
Title of host publication2022 IEEE Conference on Control Technology and Applications, CCTA 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages851-856
Number of pages6
ISBN (Electronic)9781665473385
DOIs
Publication statusPublished - 2022
Event2022 IEEE Conference on Control Technology and Applications, CCTA 2022 - Trieste, Italy
Duration: 2022 Aug 232022 Aug 25

Publication series

Name2022 IEEE Conference on Control Technology and Applications, CCTA 2022

Conference

Conference2022 IEEE Conference on Control Technology and Applications, CCTA 2022
Country/TerritoryItaly
CityTrieste
Period22/8/2322/8/25

ASJC Scopus subject areas

  • Computer Science Applications
  • Automotive Engineering
  • Control and Systems Engineering
  • Control and Optimization

Fingerprint

Dive into the research topics of 'Optimal Incentive Design for One-Way EV Car Sharing System'. Together they form a unique fingerprint.

Cite this