Modeling Urban Automated Mobility on-Demand Systems: an Agent-Based Approach

S. Wang

doi:10.4233/uuid:ff5850b9-3621-430c-a396-140f8112ad4d

Modeling Urban Automated Mobility on-Demand Systems: an Agent-Based Approach

S. Wang

Mathematical Physics

Research output: Thesis › Dissertation (TU Delft)

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Abstract

Automated Mobility-on-Demand (AMoD) systems are expected to revolutionize urban mobility systems. However, there are uncertainties in the planning and operations of AMoD systems. We deem the agent-based approach as being well suited for modeling new phenomena in future AMoD systems and therefore shed some light on the uncertainties about the operation and the impacts of such systems. Recommendations to various stakeholders are provided through the different contributions.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	Delft University of Technology
Supervisors/Advisors	Lin, H.X., Supervisor Homem de Almeida Correia, G., Supervisor
Award date	31 Jan 2023
Print ISBNs	978-90-5584-322-0
DOIs	https://doi.org/10.4233/uuid:ff5850b9-3621-430c-a396-140f8112ad4d
Publication status	Published - 2023

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Trail Senlei Wang PhD final dissertation_TU LibFinal published version, 3.02 MB

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AB - Automated Mobility-on-Demand (AMoD) systems are expected to revolutionize urban mobility systems. However, there are uncertainties in the planning and operations of AMoD systems. We deem the agent-based approach as being well suited for modeling new phenomena in future AMoD systems and therefore shed some light on the uncertainties about the operation and the impacts of such systems. Recommendations to various stakeholders are provided through the different contributions.

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Modeling Urban Automated Mobility on-Demand Systems: an Agent-Based Approach

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