SimMobility Short-Term: An Integrated Microscopic Mobility Simulator
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CLA_SimMobilityST_TRB_2017.pdf
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Author(s)
Azevedo, Carlos Lima
Deshmukh, Neeraj Milind
Marimuthu, Balakumar
Oh, Simon
Soh, Harold
Basak, Kakali
Marczuk, Katarzyna Anna
Toledo, Tomer
Peh, Li-Shiuan
Ben-Akiva, Moshe E
Date Issued
2017
Journal
Transportation Research Record: Journal of the Transportation Research Board
Publisher
SAGE Publications
Citation
Azevedo, Carlos Lima, Neeraj Milind Deshmukh, Balakumar Marimuthu, Simon Oh, Katarzyna Marczuk, Harold Soh, Kakali Basak, Tomer Toledo, Li-Shiuan Peh, and Moshe E. Ben-Akiva. “SimMobility Short-Term: An Integrated Microscopic Mobility Simulator.” Transportation Research Record: Journal of the Transportation Research Board 2622 (January 2017): 13–23.
Version
Author's final manuscript
Abstract
This paper presents the development of an integrated microscopic mobility simulator, SimMobility Short-Term (ST). The simulator is integrated because its models, inputs and outputs, simulated components, and code base are integrated within a multiscale agent- and activity-based simu- lation platform capable of simulating different spatiotemporal resolutions and accounting for different levels of travelers’ decision making. The simulator is microscopic because both the demand (agents and its trips) and the supply (trip realization and movements on the network) are microscopic (i.e., modeled individually). Finally, the simulator has mobility because it copes with the multimodal nature of urban networks and the need for the flexible simulation of innovative transportation ser - vices, such as on-demand and smart mobility solutions. This paper follows previous publications that describe SimMobility’s overall framework and models. SimMobility is an open-source, multiscale platform that considers land use, transportation, and mobility-sensitive behavioral models. SimMobility ST aims at simulating the high-resolution movement of agents (traffic, transit, pedestrians, and goods) and the operation of different mobility services and control and information systems. This paper presents the SimMobility ST modeling framework and system architecture and reports on its successful calibration for Singapore and its use in several scenarios of innovative mobility applications. The paper also shows how detailed performance measures from SimMobility ST can be integrated with a daily activity and mobility patterns simulator. Such integration is crucial to model accurately the effect of different technologies and service operations at the urban level, as the identity and preferences of simulated agents are maintained across temporal decision scales, ensuring the consistency and accuracy of simulated accessibility and performance measures of each scenario.
MIT Department
Massachusetts Institute of Technology. Center for Transportation & Logistics
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.3141/2622-02
