Modeling on passenger path selection behavior of metro network considering multiple factors

Kun Zhi; Xiaoxi Wang; Xiaoyan Qu; Yunzhe Shi

doi:10.1117/12.3011284

8 November 2023 Modeling on passenger path selection behavior of metro network considering multiple factors

Kun Zhi, Xiaoxi Wang, Xiaoyan Qu, Yunzhe Shi

Proceedings Volume 12923, Third International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2023); 1292321 (2023) https://doi.org/10.1117/12.3011284
Event: 3rd International Conference on Artificial Intelligence, Virtual Reality and Visualization (AIVRV 2023), 2023, Chongqing, China

Abstract

In a large metro network, passenger path selection is a key component of the study of passenger flow performance in complex metro networks. The Logit model has been widely welcomed by scholars due to its simple and practical characteristics. However, existing studies often ignore the impact of congestion, transfer on passenger path selection. Therefore, this paper proposes a passenger path selection model considering multiple factors. Firstly, this paper analyzes the main factors that affect passenger path selection behavior by questionnaire. Then, the discrete selection model considering the ride time, transfer time, transfer times, congestion degree is established, and the calibration method of parameters is given. Finally, the validity of the model is verified by taking Suzhou rail transit as an example. The results show that the multi-factor model proposed in this paper can estimate the passenger path selection behavior more accurately.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Kun Zhi, Xiaoxi Wang, Xiaoyan Qu, and Yunzhe Shi "Modeling on passenger path selection behavior of metro network considering multiple factors", Proc. SPIE 12923, Third International Conference on Artificial Intelligence, Virtual Reality, and Visualization (AIVRV 2023), 1292321 (8 November 2023); https://doi.org/10.1117/12.3011284

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