2026-09-19T14:43:08Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1629402025-10-07T04:13:09Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Freund, Daniel
Somsirivattana, Thana
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2025-10-06T17:35:48Z
2025-10-06T17:35:48Z
2025-05
2025-06-23T14:03:47.251Z
https://hdl.handle.net/1721.1/162940
The development of autonomous vehicles is poised to reshape the landscape of transportation. As companies prepare to deploy these vehicles on ride-hailing platforms, a key operational challenge is determining the networks on which to train the vehicles. Our work contributes toward addressing this challenge on three fronts. First, we develop a theoretical model of the network selection problem and prove theoretical results that show the importance of two parameters: the detour factor and the fleet size. Second, we develop several approaches for selecting the networks. Third, we evaluate these approaches on empirical data. We find empirical support for the importance of the detour factor and the fleet size.
M.Eng.
Massachusetts Institute of Technology
In Copyright - Educational Use Permitted
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https://rightsstatements.org/page/InC-EDU/1.0/
Choosing Networks for Ride-Hailing Platforms
Thesis
application/pdf
Master
Master of Engineering in Electrical Engineering and Computer Science
Publication
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unknown
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