Metro lines in megacities often experience extreme congestion during peak hours, causing passengers to strand on platforms and pose serious operational risks. This paper formulates a mixed-integer nonlinear programming model (MINP) for the train scheduling and passenger flow control coordination problem with adjustable dwell time on overcrowded metro lines. It can offer a service-oriented schedule plan and implements the effective passenger flow control strategy to reduce platform congestion while maintaining transportation capacity. By employing a linearization method, this paper transformes the proposed model into a linear program that can be efficiently solved via Gurobi. Finally, numerical experiments show that the total waiting time of passengers is reduced by 40.8%, which can effectively reduce rail traffic congestion, and verify the effectiveness of the model.
Collaborative Optimization of Train Scheduling and Passenger Flow Control with Adjustable Dwell Time on a Congested Metro Line
Lect. Notes Electrical Eng.
International Conference on Electrical and Information Technologies for Rail Transportation ; 2023 ; Beijing, China October 19, 2023 - October 21, 2023
Proceedings of the 6th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT) 2023 ; Chapter : 55 ; 540-548
2024-02-03
9 pages
Article/Chapter (Book)
Electronic Resource
English
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