Impacts of Automated Mobility on Demand on Long-term Mobility Choices: a Case Study of Singapore

This study explores the potential impacts of Automated Mobility on Demand on the long-term mobility choices using SimMobility, a multi-agent-based microsimulation platform. Synthetic population of Singapore in a near future is constructed and used as the input of simulation and different scenarios a...

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Bibliographic Details
Published in2019 IEEE Intelligent Transportation Systems Conference (ITSC) pp. 1908 - 1913
Main Authors Meng, Zhou, Le, Diem-Trinh, Zegras, P. Christopher, Ferreira, Joseph
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2019
Subjects
Automation
Automobiles
Autonomous vehicles
Public transportation
Sociology
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Summary:This study explores the potential impacts of Automated Mobility on Demand on the long-term mobility choices using SimMobility, a multi-agent-based microsimulation platform. Synthetic population of Singapore in a near future is constructed and used as the input of simulation and different scenarios are simulated in terms of the availability of different transport modes. Results demonstrate how microsimulation could be utilized to evaluate future scenarios in urban transportation and, more specifically, long-term mobility choices such as residential and job locations as well as vehicle ownership.
DOI:10.1109/ITSC.2019.8917172