Urban rail transit route choice model using mobile phone user’s trajectory data

Zijuan Yu; Qiang Li; Xiaochun Zhang

doi:10.1117/12.2627793

14 March 2022 Urban rail transit route choice model using mobile phone user’s trajectory data

Zijuan Yu, Qiang Li, Xiaochun Zhang

Proceedings Volume 12165, International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2021); 121650H (2022) https://doi.org/10.1117/12.2627793
Event: 2021 International Conference on Intelligent Traffic Systems and Smart City, 2021, Zhengzhou, China

Abstract

Questionnaires are the traditional solution to obtain samples of urban rail passengers' route choice, but large-scale questionnaires are required to obtain a sufficient number of valid samples to calibrate a discrete choice model. The rail travel trajectory data of cell phone users provide a large amount of real travel data, which provides a new method to obtain rail route choice samples. Based on cell phone users' rail travel trajectory data, we propose a route choice model of rail passengers. First, this paper analyzes the issues and effects of the midway point loss of the track data of cell phone users, and explains the necessity of developing a discrete choice model. Second, this paper proposes a Logit model, and then describes the route travel time calculation method and the route choice dataset generation method, the latter of which fully considers the disadvantages and advantages of cell phone data. The model is calibrated and the result is evaluated based on the trajectory data of cell phone users in Shenzhen. The results show that the model proposed in this paper has high accuracy and can be utilized in actual rail passenger flow assignment.

Citation Download Citation

Zijuan Yu, Qiang Li, and Xiaochun Zhang "Urban rail transit route choice model using mobile phone user’s trajectory data", Proc. SPIE 12165, International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2021), 121650H (14 March 2022); https://doi.org/10.1117/12.2627793

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