论文信息 - A Multi-objective Timetable Optimization Model for Subway Systems

A Multi-objective Timetable Optimization Model for Subway Systems

This paper proposes a multi-objective optimization model to optimize the timetable in subway systems, where the objective of overlapping time is the measure of the utilization of regenerative braking energy and the objective of total passenger time is the measure of satisfaction of the passengers. Furthermore, a simulated annealing method is designed to solve the optimal timetable. Finally, we combine the two objectives into one by applying the weight coefficients and conduct experimental studies are presented based on the operation data from Island Line of MTR. The results show that the optimal multi-objective solution can increase the overlapping time by 21.9 % and meanwhile shorten the total passenger time by 4.3 % compared with the current timetable.

Keping Li | Le Zhao | Shuai Su

[1] Binggang Cao,et al. Regenerative braking strategy for electric vehicles , 2009, 2009 IEEE Intelligent Vehicles Symposium.

[2] Ferenc Szidarovszky,et al. A multi-objective train scheduling model and solution , 2004 .

[3] Petar V. Kokotovic,et al. Minimum-energy control of a traction motor , 1972 .

[4] Chung-Hsing Yeh,et al. A Multiobjective Model for Passenger Train Services Planning: Application to Taiwan's High-Speed Rail Line , 2000 .

[5] Xiang Li,et al. A Subway Train Timetable Optimization Approach Based on Energy-Efficient Operation Strategy , 2012, IEEE Transactions on Intelligent Transportation Systems.

[6] Roberto Cordone,et al. Optimizing the demand captured by a railway system with a regular timetable , 2011 .

[7] Erik Jonasson,et al. Maximisation of brake energy regeneration in a hybrid electric parallel car , 2007 .

[8] C. D. Gelatt,et al. Optimization by Simulated Annealing , 1983, Science.

[9] Xiang Li,et al. A Cooperative Scheduling Model for Timetable Optimization in Subway Systems , 2013, IEEE Transactions on Intelligent Transportation Systems.