Reference
Y. Wang, B. De Schutter,
T. J. J.
van den Boom, B. Ning, and T. Tang, "Efficient bi-level approach for urban rail
transit operation with stop-skipping,"
IEEE Transactions on
Intelligent Transportation Systems, vol. 15, no. 6, pp. 2658-2670, Dec.
2014.
Abstract
The 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 the trains. We adopt a model-based approach where the model
includes the operation of trains at the terminus and at the stations. In order
to adapt the train schedule to the origin-destination dependent passenger
demand in the urban rail transit system, a stop-skipping strategy is adopted to
reduce the passenger travel time and the energy consumption. An efficient
bi-level optimization approach is proposed to solve this train scheduling
problem, which actually is a mixed integer nonlinear programming problem. The
performance of the new efficient bi-level approach is compared with the
existing bi-level approach. In addition, we also compare the stop-skipping
strategy with the all-stop strategy. The comparison is performed through a case
study inspired by real data from the Beijing Yizhuang line. The simulation
results show that the efficient bi-level approach and the existing bi-level
approach have a similar performance but the computation time of the efficient
bi-level approach is around one magnitude smaller than that of the bi-level
approach.
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BibTeX
@article{WanDeS:14-017,
author = {Wang, Yihui and De Schutter, Bart and van den Boom, Ton J. J. and
Ning, Bin and Tang, Tao},
title = {Efficient Bi-Level Approach for Urban Rail Transit Operation with
Stop-Skipping},
journal = {IEEE Transactions on Intelligent Transportation Systems},
volume = {15},
number = {6},
pages = {2658--2670},
month = dec,
year = {2014}
}