|Title||Integrating Shared Autonomous Vehicle in Public Transportation System|
|Publication Type||Journal Article|
|Year of Publication||Submitted|
|Authors||Yu Shen, Hongmou Zhang, Jinhua Zhao|
|Journal||Transportation Research Part A|
This paper proposes and simulates an integrated autonomous vehicle (AV) and public transportation system. After discussing the attributes of and the interaction among the potential stakeholders in the system, we identify possible opportunities for synergy between AVs and the public transportation system based on Singapore’s organizational structures. 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 simulation model 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 less road resources, being financially sustainable, and utilizing bus services more efficiently.