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

Yu Shen, Hongmou Zhang and Jinhua Zhao

Transportation Research Part A: Policy and Practice, 2018, vol. 113, issue C, 125-136

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.

Keywords: Autonomous vehicle; Public transportation; Agent-based model; First-mile problem; Mobility-on-demand (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (66)

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DOI: 10.1016/j.tra.2018.04.004

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Transportation Research Part A: Policy and Practice is currently edited by John (J.M.) Rose

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