2026-09-21T23:50:26Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1431862022-06-16T03:28:18Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Ben-Akiva, Moshe
Shamshiripour, Ali
Li, David D.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2022-06-15T13:02:10Z
2022-06-15T13:02:10Z
2022-02
2022-02-22T18:32:02.301Z
https://hdl.handle.net/1721.1/143186
As a result of the changing transportation landscape, Mobility-as-a-Service (MaaS) was developed to be a streamlined operator of emerging on-demand transportation services and traditional modes of transport. However, much of MaaS’s impact on enduser’s activities and travel patterns remain unknown and require further investigation. Due to its complex nature, a tool is necessary to help us reliably quantify and evaluate the broader impacts of MaaS. To this end, we introduce MaaS into the activitybased, agent-based travel simulation platform: SimMobility. Prioritizing flexibility and compatibility with different cities, we provide a generic implementation on which users can define configurations according to desired scenarios.
M.Eng.
Massachusetts Institute of Technology
In Copyright - Educational Use Permitted
Copyright MIT
http://rightsstatements.org/page/InC-EDU/1.0/
Agent-Based Approach to Simulating Mobility as a Service
Thesis
application/pdf
Master
Master of Engineering in Electrical Engineering and Computer Science
Publication
unknown
unknown
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<Abstract>As a result of the changing transportation landscape, Mobility-as-a-Service (MaaS) was developed to be a streamlined operator of emerging on-demand transportation services and traditional modes of transport. However, much of MaaS’s impact on enduser’s activities and travel patterns remain unknown and require further investigation. Due to its complex nature, a tool is necessary to help us reliably quantify and evaluate the broader impacts of MaaS. To this end, we introduce MaaS into the activitybased, agent-based travel simulation platform: SimMobility. Prioritizing flexibility and compatibility with different cities, we provide a generic implementation on which users can define configurations according to desired scenarios.</Abstract>
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