Trajectory Optimization for High-Speed Trains via a Mixed Integer Linear Programming Approach

This paper proposes a trajectory optimization approach for high-speed trains to reduce traction energy consumption and increase riding comfort. Besides, the proposed approach can also achieve energy-saving effects by optimizing the operation time between stations. First, an optimization model is dev...

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Bibliographic Details
Published in:	IEEE transactions on intelligent transportation systems Vol. 23; no. 10; pp. 17666 - 17676
Main Authors:	Cao, Yuan, Zhang, Zixuan, Cheng, Fanglin, Su, Shuai
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.10.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Comfort Control systems Energy conservation Energy consumption Energy efficiency High speed rail high-speed railway Integer programming Linear programming Mathematical models MILP Mixed integer Optimal control Optimization Optimization models Rail transportation riding comfort Switches Traction train control Trajectory optimization
ISSN:	1524-9050, 1558-0016
Online Access:	Get full text
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