Quantifying taxi drivers' behaviors with behavioral game theory

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 m...

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Bibliographic Details
Main Authors: JI, Mengyu, XU, Yuhong, CHENG, Shih-Fen
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2023
Subjects:
Online Access:https://ink.library.smu.edu.sg/sis_research/8554
https://ink.library.smu.edu.sg/context/sis_research/article/9557/viewcontent/taxi_ipl_itsc2023.pdf
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Institution: Singapore Management University
Language: English
Description
Summary: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.