2023
DOI: 10.1108/rs-06-2023-0023
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Key technologies and applications of intelligent dispatching command for high-speed railway in China

Shuxin Ding,
Tao Zhang,
Kai Sheng
et al.

Abstract: PurposeThe intelligent Central Traffic Control (CTC) system plays a vital role in establishing an intelligent high-speed railway (HSR) system. As the core of HSR transportation command, the intelligent CTC system is a new HSR dispatching command system that integrates the widely used CTC in China with the practical service requirements of intelligent dispatching. This paper aims to propose key technologies and applications for intelligent dispatching command in HSR in China.Design/methodology/approachThis pape… Show more

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Cited by 3 publications
(1 citation statement)
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“…With the continuous advancement of science and technology, China HSR dispatching system is based on the Centralized Traffic Control (CTC), realizing the automation and remote control of dispatching and command centered on train operation plan control. The CTC system is mainly composed of three parts: the railway administration central subsystem, the station subsystem, and the network subsystem (Ding, Zhang, Sheng, Chen, & Yuan, 2023), which are highly coupled. If the risks between these subsystems are not handled properly, it may cause CTC system disorder and affect train operating efficiency.…”
Section: Introductionmentioning
confidence: 99%
“…With the continuous advancement of science and technology, China HSR dispatching system is based on the Centralized Traffic Control (CTC), realizing the automation and remote control of dispatching and command centered on train operation plan control. The CTC system is mainly composed of three parts: the railway administration central subsystem, the station subsystem, and the network subsystem (Ding, Zhang, Sheng, Chen, & Yuan, 2023), which are highly coupled. If the risks between these subsystems are not handled properly, it may cause CTC system disorder and affect train operating efficiency.…”
Section: Introductionmentioning
confidence: 99%