Reference
Y. Wang, B. De Schutter, B. Ning, N. Groot, and
T. J. J. van den Boom, "Optimal
trajectory planning for trains using mixed integer linear programming,"
Proceedings of the 14th International IEEE Conference on Intelligent
Transportation Systems (ITSC 2011), Washington, DC, pp. 1598-1603, Oct.
2011.
Abstract
The optimal trajectory planning for trains under constraints and fixed maximal
arrival time is considered. The variable line resistance (including variable
grade profile, tunnels, and curves) and arbitrary speed restrictions are
included in this approach. The objective function is a trade-off between the
energy consumption and the riding comfort. First, the nonlinear train model is
approximated by a piece-wise affine model. Next, the optimal control problem is
formulated as a mixed integer linear programming (MILP) problem, which can be
solved efficiently by existing solvers. The good performance of this approach
is demonstrated via a case study.
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BibTeX
@inproceedings{WanDeS:11-032,
author = {Wang, Yihui and De Schutter, Bart and Ning, Bin and Groot,
Noortje and van den Boom, Ton J. J.},
title = {Optimal Trajectory Planning for Trains Using Mixed Integer
Linear Programming},
booktitle = {Proceedings of the 14th International IEEE Conference on
Intelligent Transportation Systems (ITSC 2011)},
address = {Washington, DC},
pages = {1598--1603},
month = oct,
year = {2011}
}