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

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Author
Wang, Biyu
Ordoñez Medina, Sergio A.
Fourie, Pieter J.
Date
2018
Type
    Conference Paper
Rights / license
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
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 transp Show more
Permanent link
https://doi.org/10.3929/ethz-b-000262232
Publication status
published
External links
Journal / series
Procedia Computer Science
Volume
130
Pages / Article No.
797 - 802
Publisher
Elsevier
Event
9th International Conference on Ambient Systems, Networks and Technologies (ANT 2018) and 8th International Conference on Sustainable Energy Information Technology (SEIT 2018), Porto, Portugal, May 8-11, 2018
Subject
Autonomous transit on demand; MATSim; Agent-based modeling
Organisational unit
08058 - Singapore-ETH Centre (SEC) / Singapore-ETH Centre (SEC)
03521 - Axhausen, Kay W. / Axhausen, Kay W.  
02226 - NSL - Netzwerk Stadt und Landschaft / NSL - Network City and Landscape
02655 - Netzwerk Stadt und Landschaft D-ARCH
08060 - FCL / FCL
Notes
Paper presented at the ABMTRANS Workshop "ABMTRANS-S2" on 9 May, 2018.
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