Research on Signal Control System of Urban Rail Transit
Abstract
As an important infrastructure of a modern city, the reliability and safety of the signal control system of urban rail transit are directly
related to the efficiency of urban traffic operation and the safety of passengers life and property. Based on the in-depth analysis of the working principle of urban rail transit signal control system and the actual needs of the current rail transit development, this paper discusses the innovative development path of rail transit signal control system based on advanced control theory, artificial intelligence and other technologies.
Research shows that through the introduction of adaptive control, intelligent optimization of advanced control methods, establish based on
big data and cloud computing wisdom signal control platform, can significantly improve the operation efficiency of urban rail transit system,
safety and intelligent level, for the construction of safe, convenient, efficient, green modern urban rail transit system to provide powerful technical support.
related to the efficiency of urban traffic operation and the safety of passengers life and property. Based on the in-depth analysis of the working principle of urban rail transit signal control system and the actual needs of the current rail transit development, this paper discusses the innovative development path of rail transit signal control system based on advanced control theory, artificial intelligence and other technologies.
Research shows that through the introduction of adaptive control, intelligent optimization of advanced control methods, establish based on
big data and cloud computing wisdom signal control platform, can significantly improve the operation efficiency of urban rail transit system,
safety and intelligent level, for the construction of safe, convenient, efficient, green modern urban rail transit system to provide powerful technical support.
Keywords
Urban rail transit; Signal control system; Automatic train protection; Intelligent traffic; Big data
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[2] Qiao Zhiyuan. Optimization of train anti-skid control strategy for multi-system coordination of urban rail transit [J]. Research on Urban
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[3] Li Yuanjing. Technical analysis of the signal control system for rail transit [J]. Electronic Technology, 2024, 53 (09): 326-327.
DOI: http://dx.doi.org/10.70711/aitr.v2i11.7418
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