Train Detection by Magnetic Field Measurement with Giant Magnetoresistive Sensors for High-Speed Railway

2013 ◽  
Vol 284-287 ◽  
pp. 2102-2114 ◽  
Author(s):  
Shu Qi Zhang ◽  
Wing Kin Lee ◽  
Philip W.T. Pong

Train detection, as part of the railway signaling system, is important for safe operation of high-speed railway. The recent flourishing development of high-speed railway stimulates the research need of train detection technology to enhance the safety and reliability of train operation. This paper proposes a new technique for train detection through magnetic field measurement by giant magnetoresistive sensors. This technology was studied by the analysis of magnetic field distribution in the high-speed rail system obtained from modeling and simulation. The results verify the feasibility for detection of train presence, number of rolling stocks, speed, and length. It can overcome the limitations of track circuits and provide additional measurement capabilities to the signaling system. This detection system can be built with low cost and minimal maintenance load as well as compacted construction. Therefore, it may serve as a new train detection system to help improve the current systems, enhancing and promoting the safety and reliability of high-speed rail system.

1981 ◽  
Vol 189 (2-3) ◽  
pp. 369-376
Author(s):  
Makoto Sakuda ◽  
Kazuhisa Nakajima ◽  
Alain de Lesquen ◽  
Nobuhiro Kim ◽  
Akira Masaike ◽  
...  

2012 ◽  
Vol 2012 ◽  
pp. 1-22 ◽  
Author(s):  
Li Wang ◽  
Yong Qin ◽  
Jie Xu ◽  
Limin Jia

A fuzzy optimization model based on improved symmetric tolerance approach is introduced, which allows for rescheduling high-speed railway timetable under unexpected interferences. The model nests different parameters of the soft constraints with uncertainty margin to describe their importance to the optimization purpose and treats the objective in the same manner. Thus a new optimal instrument is expected to achieve a new timetable subject to little slack of constraints. The section between Nanjing and Shanghai, which is the busiest, of Beijing-Shanghai high-speed rail line in China is used as the simulated measurement. The fuzzy optimization model provides an accurate approximation on train running time and headway time, and hence the results suggest that the number of seriously impacted trains and total delay time can be reduced significantly subject to little cost and risk.


2021 ◽  
Vol 143 ◽  
pp. 107264
Author(s):  
Junying Zhang ◽  
Fengyi Chen ◽  
Ruohui Wang ◽  
Xueguang Qiao ◽  
Haibin Chen ◽  
...  

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