Abstract
Autonomous transit on demand (ATOD) is a potential future public transit mode, which appeals to a lot of researchers and policymakers. In the project, ATOD is simulated in MATSim to explore the optimal fleet size and deployment strategy to help policymakers to decide how to introduce the new transport system in the future. The simulation enables the system to explore the optimization automatically under specific constraints with the MATSim evolutionary algorithm.
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