Publication Type

Conference Proceeding Article

Version

acceptedVersion

Publication Date

9-2023

Abstract

With their flexibility and convenience, taxis play a vital role in urban transportation systems. Understanding how human drivers make decisions in a context of uncertainty and competition is crucial for taxi fleets that depend on drivers to provide their services. As part of this paper, we propose modeling taxi drivers’ behaviors based on behavioral game theory. Based on real-world data, we demonstrate that the behavioral game theory model we select is superior to state-of-the-art baselines. These results provide a solid foundation for improving taxi fleet efficiency in the future.

Discipline

Artificial Intelligence and Robotics | Theory and Algorithms | Transportation

Research Areas

Intelligent Systems and Optimization

Publication

2023 IEEE International Conference on Intelligent Transportation Systems, ITSC: Bilbao, Spain, September 24-28: Proceedings

First Page

3016

Last Page

3021

ISBN

9798350399462

Identifier

10.1109/ITSC57777.2023.10422246

Publisher

IEEE

City or Country

Piscataway, NJ

Copyright Owner and License

Authors

Additional URL

https://doi.org/10.1109/ITSC57777.2023.10422246

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