Simulation of Autonomous Transit On Demand for Fleet Size and Deployment Strategy Optimization | Zendy

Biyu Wang | Zendy; Sergio Ordóñez | Zendy; Pieter J. Fourie | Zendy

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Simulation of Autonomous Transit On Demand for Fleet Size and Deployment Strategy Optimization

Author(s) -

Biyu Wang,

Sergio Ordóñez,

Pieter J. Fourie

Publication year - 2018

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2018.04.138

Subject(s) - computer science , software deployment , transit (satellite) , transit time , simulation , operations research , public transport , transport engineering , operating system , engineering

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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