Reference
Y. Wang, B. De Schutter,
T. J. J.
van den Boom, B. Ning, and T. Tang, "Real-time scheduling for trains in urban
rail transit systems using nonlinear optimization,"
Proceedings of the 16th International IEEE Conference on Intelligent
Transportation Systems (ITSC 2013), The Hague, The Netherlands, pp.
1334-1339, Oct. 2013.
Abstract
The real-time train scheduling problem for urban rail transit systems is
considered with the aim of minimizing the total travel time of passengers and
the energy consumption of trains. Based on the passenger demand in urban rail
transit systems, the optimal departure times, running times, and dwell times
are obtained by solving the scheduling problem. Three solution approaches are
proposed to solve the real-time scheduling problem for trains: a pattern search
method, a mixed integer nonlinear programming (MINLP) approach, and a mixed
integer linear programming (MILP) approach. The performance of these three
approaches is compared via a case study based on the data of the Beijing
Yizhuang line. The results show that the pattern search method provides a good
trade-off between the control performance and the computational efficiency.
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BibTeX
@inproceedings{WanDeS:13-036,
author = {Wang, Yihui and De Schutter, Bart and van den Boom, Ton J. J.
and Ning, Bin and Tang, Tao},
title = {Real-Time Scheduling for Trains in Urban Rail Transit Systems
Using Nonlinear Optimization},
booktitle = {Proceedings of the 16th International IEEE Conference on
Intelligent Transportation Systems (ITSC 2013)},
address = {The Hague, The Netherlands},
pages = {1334--1339},
month = oct,
year = {2013}
}