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交控科技(688015.SH):正在研发的自主虚拟编组运行系统可实现基于虚拟联挂的灵活编组柔性运营

Traffic Control Technology (688015.SH): The self-developed virtual grouping running system under development can achieve flexible grouping and flexible operation based on virtual coupling.

Gelonghui Finance ·  Jun 24 15:45

On June 24th, GeLongHui reported that Traffic Control Technology (688015.SH) stated on their interactive platform that the company has self-developed signaling technology suitable for urban railroads, has a wealth of project implementation experience and has conducted relevant new technology research and development. In September 2019, the company's self-developed and innovative Interconnected and Fully Automatic Operation System was put into use on the Beijing Daxing International Airport Line, which can achieve a running speed of 160 kilometers per hour (one of the standard speeds for intercity railroads) and became the fastest fully automated urban rail transit line in the world. After the opening of the Beijing Daxing Airport Line, its operation has been efficient and stable, making it a leading technological solution for fully automatic operation of urban railroads and intercity railroads. In the past three years, the company has successively won bids and implemented projects for the Chengdu Rail Transit Ziyang Line, the Ningbo-Xiangshan Urban Railroad, and the Hangzhou-Dingqing Urban Railroad. The company is developing a self-developed virtual grouping operation system that can achieve flexible grouping and flexible operation based on virtual linkage, maximize the use of rail and vehicle resources, reduce operating energy consumption, and can be promoted to scenarios such as reasonable use of vehicles during peak periods, integration of rail networks, mixed passenger and freight operations, and one main with multiple such scenarios. It is expected that it will have a broad application space in the future super-first-tier cities (Beijing, Shanghai, Guangzhou, Shenzhen) and urban lines constructed in accordance with urban rail transit standards in the Yangtze River Delta region (CNI Yangtze Index).

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