Integrating shared autonomous vehicle in public transportation system: A supply-side simulation of the first-mile service in Singapore

Authored by Yu Shen, Hongmou Zhang, Jinhua Zhao

Date Published: 2018

DOI: 10.1016/j.tra.2018.04.004

Sponsors: Singapore National Research Foundation

Platforms: No platforms listed

Model Documentation: Other Narrative Flow charts Mathematical description

Model Code URLs: Model code not found

Abstract

This paper proposes and simulates an integrated autonomous vehicle (AV) and public transportation (PT) system. After discussing the attributes of and the interaction among the prospective stakeholders in the system, we identify opportunities for synergy between AVs and the PT system based on Singapore's organizational structure and demand characteristics. Envisioning an integrated system in the context of the first-mile problem during morning peak hours, we propose to preserve high demand bus routes while repurposing low-demand bus routes and using shared AVs as an alternative. An agent-based supply-side simulation is built to assess the performance of the proposed service in fifty-two scenarios with different fleet sizes and ridesharing preferences. Under a set of assumptions on AV operation costs and dispatching algorithms, the results show that the integrated system has the potential of enhancing service quality, occupying fewer road resources, being financially sustainable, and utilizing bus services more efficiently.

Tags

Agent-based model models selection Optimization preferences Methodology mobility Public transportation Assignment Fleet Autonomous vehicle First-mile problem Mobility-on-demand Transit service Ride