Choosing Networks for Ride-Hailing Platforms
Name
somsirivattana-thana-meng-eecs-2025-thesis.pdf
Description
Thesis PDF
Size
1.66 MB
Format
Adobe PDF
Checksum (MD5)
6c3065a8038e845d04153a7a8cb44450
Author(s)
Somsirivattana, Thana
Advisor(s)
Freund, Daniel
Date Issued
May 2025
Publisher
Massachusetts Institute of Technology
Abstract
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.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
In Copyright - Educational Use Permitted
Copyright retained by author(s)
Persistent DSpace Link
