Optimization of urban rail transit timetables for metropolitan commuter train cross-track operations

Ruidong Wang; Hui Liang; Li Lin; Zheng Han; Dongzhi Li; Lihui An; Zijin Han

doi:10.1117/12.3015691

20 February 2024 Optimization of urban rail transit timetables for metropolitan commuter train cross-track operations

Ruidong Wang, Hui Liang, Li Lin, Zheng Han, Dongzhi Li, Lihui An, Zijin Han

Proceedings Volume 13064, Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023); 1306422 (2024) https://doi.org/10.1117/12.3015691
Event: 7th International Conference on Traffic Engineering and Transportation System (ICTETS 2023), 2023, Dalian, China

Abstract

In order to address the issue of passenger flow imbalance when metropolitan commuter trains cross-operate onto urban rail transit lines, this paper adopts a demand-driven approach. Optimization models are constructed with the goals of minimizing the waiting time for passengers on urban rail transit and minimizing the total travel time for passengers on the metropolitan line. An improved Harris Hawk algorithm is utilized for solving these models. To validate the effectiveness of the proposed models and algorithm, actual operational data from a specific metropolitan line and urban rail transit line are examined. The results indicate that by uniformly adjusting the departure intervals of both the metropolitan and urban rail transit trains, the objective function is reduced by 7.20%, the waiting time for passengers on the urban rail transit line is decreased by 4.96%, and the onboard travel time for metropolitan line passengers is reduced by 11.28%.

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

Citation Download Citation

Ruidong Wang, Hui Liang, Li Lin, Zheng Han, Dongzhi Li, Lihui An, and Zijin Han "Optimization of urban rail transit timetables for metropolitan commuter train cross-track operations", Proc. SPIE 13064, Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023), 1306422 (20 February 2024); https://doi.org/10.1117/12.3015691

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