NDLI: Optimal control of automatic train operation based on multi-scale dynamic programming

Content Provider	IEEE Xplore Digital Library
Author	Xu Yanping Zhao Xia Wang Lin Liu Xun Zhang Qiongyan
Copyright Year	2014
Description	Author affiliation: Sch. of Electron. Inf. & Electr. Eng., Shanghai JiaoTong Univ., Shanghai, China (Xu Yanping; Zhao Xia; Wang Lin) \|\| Tech. Center, Shanghai Shentong Metro Group, Shanghai, China (Liu Xun; Zhang Qiongyan)
Abstract	Subway system plays an increasingly important role in urban transportation system, thus the optimization of subway control under multi-criteria is of great significance. Study on subway optimal control is to find a control strategy to regulate train's velocity under constraints and given performance requirements, so as to obtain the optimal train speed curve. Many methods have been used to solve this problem such as Predictive Fuzzy Control, Genetic Algorithm and Simulated Annealing Algorithm. But they are not adaptive in general cases for they are just optimal under only one or two criteria. In this paper, we have model the train's performance with five criteria. Moreover, an Multi-scale Dynamic Programming (MDP) is proposed to optimize the train's regulation. Inspired from DP's idea that a bigger problem could be solved based on solving its subproblems, MDP repeatedly divide distance section into smaller ones to be optimized, which makes our algorithm applicable on the computer. Simulation results demonstrate that MDP could obtain better train speed curve, 7.16% reduction of unpunctuality rate, when comparing to a Predictive Fuzzy Control method. It also demonstrates Multi-criteria model could make it flexible in different application scenarios.
Starting Page	3429
Ending Page	3433
File Size	148280
Page Count	5
File Format	PDF
ISBN	9789881563873
ISSN	19341768
DOI	10.1109/ChiCC.2014.6895507
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	TCCT, CAA
Subject Keyword	Computational modeling Heuristic algorithms Optimal control Automatic Train Operation Rail transportation Dynamic programming Safety Optimal Control Optimization Multi-scale Dynamic Programming
Content Type	Text
Resource Type	Article

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