Agent-based Simulation for the Dynamic Zonal Dial-a-Ride Problem

  • 洪 迎哲

Student thesis: Doctoral Thesis


As the travel needs of people with disabilities increase demand response transit (DRT) has become a popular research topic in recent years Currently many DRT service is still using manual scheduling which leads to inefficient and is not able to deal with dynamic events This study proposes an agent-based method that defines the vehicle's decision-making behavior and passenger interaction to simulate dynamic DARP We apply agent-based simulation to analyze different zonal restrictions selection strategies and ride-sharing conditions etc The results confirm that our model can find the efficient strategy combination Our proposed zoning restriction scheme also presents a performance close to the scenario without zonal constraint providing operators with a reference
Date of Award2021
Original languageEnglish
SupervisorChung-Wei Shen (Supervisor)

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