Impacts of Automated Mobility on Demand on Long-term Mobility Choices: a Case Study of Singapore
- Resource Type
- Conference
- Authors
- Meng, Zhou; Le, Diem-Trinh; Zegras, P. Christopher; Ferreira, Joseph
- Source
- 2019 IEEE Intelligent Transportation Systems Conference (ITSC) Intelligent Transportation Systems Conference (ITSC), 2019 IEEE. :1908-1913 Oct, 2019
- Subject
- Aerospace
Communication, Networking and Broadcast Technologies
General Topics for Engineers
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Public transportation
Automobiles
Sociology
Statistics
Autonomous vehicles
Automation
- Language
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.