Research on multi-station collaborative passenger flow control strategy of urban rail transit

Ju Liang; Gensuo Mi

doi:10.1117/12.3032804

5 July 2024 Research on multi-station collaborative passenger flow control strategy of urban rail transit

Ju Liang, Gensuo Mi

Proceedings Volume 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024); 131846R (2024) https://doi.org/10.1117/12.3032804
Event: 3rd International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 2024, Kuala Lumpur, Malaysia

Abstract

With the increasing passenger demand during the peak high-flow period, urban rail transit operations are facing great challenges. In order to ensure the safety and efficiency of passenger travel, this paper proposes a multi-objective function optimization model with the objectives of minimizing the total delay time of passengers and maximizing the total capacity of the train interval, and transforms the model into a linear integer planning model by using 0-1 auxiliary variable λ ^WT_z . The model is simulated and verified with the help of Lingo18.0 optimization solver. The model is simulated and verified with the help of Lingo18.0 optimization solver. Taking a high-capacity urban rail transit line as an example, the results show: after adopting the multi-station cooperative passenger flow control strategy, the efficiency of passenger travel has been significantly improved, and the total delay time of the passengers has been reduced by 34.99% compared with that before the passenger flow control, and the total capacity of the train interval has been increased by 22.53%.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ju Liang and Gensuo Mi "Research on multi-station collaborative passenger flow control strategy of urban rail transit", Proc. SPIE 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 131846R (5 July 2024); https://doi.org/10.1117/12.3032804

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