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Research on a Smart Schedule Matching Method in Urban Rail Transit

Published: 18 August 2021 Publication History

Abstract

With respect to the application requirement to restore schedule regulation in urban rail transit, this article is to provide a method of smart train schedule matching in urban rail transit. The result of schedule matching calculation is based on weight to accomplish an optimized matching of train schedules, reduce manual intervention and improve punctuality of train operation.

References

[1]
IEEE Std 1474.1TM-2004 IEEE Standard for Communications-Based Train Control (CBTC) Performance and Functional Requirements [S].
[2]
IEEE Std 1474.3TM-2008 IEEE Recommended Practice for Communications-Based Train Control (CBTC) System Design and Functional Allocations [S].
[3]
EN 50128 2011 Railway applications-Communications, signalling and processing systems-Software for railway control and protection systems [S].
[4]
WONGKK, HOTK. Dwell-time and Run-time Control for DC Mass Rapid Transit Railways [J]. IET of Electric Power Applications, 2007,1(6):956-966.
[5]
CZJS/T 0030-2015 Technical specification of communication based train control system for urban rail transit-ATS subsystem specification[S].
[6]
Lu Yue, Zhang Deming. Train Operation Adjustment Model Based on Fuzzy Neural Network[J]. Railway Transport and Economy, 2007(8): 70-72.
[7]
Wang Jingjing.Ant Colony Optimization Algorithm applied to train operation adjustment of Urban Transit[J]. Railway Computer Application, 2016,25(7):1-3.
[8]
Zheng Bowen.Metro timetable adjustment based on improved particle swarm optimization[J]. Railway Computer Application, 2017, 26(11):16-12.
[9]
Yao Ye, Fu Zhenyu, Zhang Yifeng, Jiang Xufeng, Li Jiang, Liu Yanshen, Liang Yongfeng, Guan Wei, Yang Zenghui.A headway regulation method for urban rail transit train [P].China patent:CN201010295309.X,2010-09-27.
[10]
Yi Yu, Jianhua Dou, Yingying Sun. Research on Information Interaction of the Train Regulation Service in ATS Subsystem [C].In: 2020 IEEE 5th International Conference on Intelligent Transportation Engineering (ICITE 2020). September 11-13, 2020. Beijing, China. P341-344.

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cover image ACM Other conferences
ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information Systems
May 2021
2053 pages
ISBN:9781450390200
DOI:10.1145/3469213
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 August 2021

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