Simulation of autonomous transit on demand for fleet size and deployment strategy optimization

Open access
Date
2018Type
- Conference Paper
ETH Bibliography
yes
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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. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000262232Publication status
publishedExternal links
Journal / series
Procedia Computer ScienceVolume
Pages / Article No.
Publisher
ElsevierEvent
Subject
Autonomous transit on demand; MATSim; Agent-based modelingOrganisational unit
08058 - Singapore-ETH Centre (SEC) / Singapore-ETH Centre (SEC)03521 - Axhausen, Kay W. (emeritus) / Axhausen, Kay W. (emeritus)
02226 - NSL - Netzwerk Stadt und Landschaft / NSL - Network City and Landscape
02655 - Netzwerk Stadt u. Landschaft ARCH u BAUG / Network City and Landscape ARCH and BAUG
08060 - FCL / FCL
Notes
Paper presented at the ABMTRANS Workshop "ABMTRANS-S2" on 9 May, 2018.More
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ETH Bibliography
yes
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