American Society of Civil Engineers


Genetic Algorithms with Application to Optimize High Speed Train ATO


by Jin Yu, (Traction Power State Key Laboratory, Southwest Jiaotong University, Number 111 North Section1 Roundabout Road 2, Chengdu City, China; P.O. BOX 610031 E-mail: jinyu_yj@163.com), Qingquan Qian, (Southwest Jiaotong University, Chengdu City, China. Academician of Chinese Academy of Engineering; P.O. BOX 610031), and Zhengyou He, (Southwest Jiaotong University, Chengdu City, China. Academician of Chinese Academy of Engineering; P.O. BOX 610031)

pp. 2512-2517, (doi:  http://dx.doi.org/10.1061/40932(246)412)

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Document type: Conference Proceeding Paper
Part of: International Conference on Transportation Engineering 2007
Abstract: In this paper, the distance-velocity curve of high speed train obtained with traction calculation is optimized by means of genetic algorithms, which safety, punctuality, comfort, energy cost of train running and stopping a train at target point have been considered. Accordingly, the optimal switch point of the train running condition (traction, inertia, braking and release etc.) can be got, which can be used for instructing high speed train automatic operation(ATO). Simulation results show that this method is adequate and effective, and the expectation is achieved.


ASCE Subject Headings:
Algorithms
Rapid transit systems