Ridesharing: The Impact of Traffic Restrictions and Role Flexibility

Fatemeh Amerehi, Patrick Healy

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Ridesharing has been widely acknowledged as an effective solution for reducing traffic congestion and pollution. However, in cities with high levels of air pollution, there are often restrictions on vehicle movements that have been overlooked in ridesharing studies. This study aims to investigate the effects of such restrictions on optimal matching and route changes. We first propose a Mixed Integer Linear Programming (MILP) model to solve the many-to-many ridesharing problem under traffic restrictions. Then, we introduce a variant of the model with role flexibility for drivers. The results emphasize that traffic restrictions have a minimal impact on the overall number of matches. However, in contrast to previous studies that solely examined role flexibility among car owners, which resulted in more matches, our findings show a decline in overall matches when not all participants possess a vehicle. This is due to the potential savings associated with role shifting, leading to an increased level of demand and a decrease in supply.

Original languageEnglish
Title of host publication2023 IEEE 26th International Conference on Intelligent Transportation Systems, ITSC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3142-3147
Number of pages6
ISBN (Electronic)9798350399462
DOIs
Publication statusPublished - 2023
Event26th IEEE International Conference on Intelligent Transportation Systems, ITSC 2023 - Bilbao, Spain
Duration: 24 Sep 202328 Sep 2023

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
ISSN (Print)2153-0009
ISSN (Electronic)2153-0017

Conference

Conference26th IEEE International Conference on Intelligent Transportation Systems, ITSC 2023
Country/TerritorySpain
CityBilbao
Period24/09/2328/09/23

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