Trajectory Optimization for High-Speed Train Operation

Author(s):  
He Zhi-yu ◽  
Yang Zhi-jie ◽  
Lv Jing-yang
2015 ◽  
Vol 2 (3) ◽  
Author(s):  
Vishnu Kumar

Train operation at higher speed necessitates attentiveness, alertness and ability to respond promptly with precision and promptness for taking prudent decisions under dynamic situation of train driving. Proficiency and competence of locomotive drivers, their acumen and expertise to formulate strategies for dealing with the varying situations associated with operation of trains involve manifestation of specific cognitive, psychomotor and behavioural abilities, in absence of which their reliability becomes safety critical. Deployment of proficient drivers possessing appropriate attribute and apposite aptitude can be ensured through an efficient psychometric assessment and the process of assessment becomes crucial in minimizing safety critical risk factors and ensuring efficiency and safety in high speed train operation.


2016 ◽  
Vol 2546 (1) ◽  
pp. 103-111 ◽  
Author(s):  
Wei ShangGuan ◽  
Juan Wang ◽  
Zhao Sheng ◽  
Xiao-Xuan Yu ◽  
Bai-Gen Cai ◽  
...  

2013 ◽  
Vol 655-657 ◽  
pp. 2335-2339 ◽  
Author(s):  
Bi Hong Lu ◽  
Peng Hua ◽  
Zhen Liang Fu ◽  
Feng Gao

Based on the FMEA and risk assessment analysis method, authors proposed 25 kinds of failure modes about the door system of high-speed train, conducted a risk assessment from the risk grade and criticality. Four kinds of failure modes are obtained with the highest level of risk and criticality in the door system of high-speed train. They are control failure, communication failure, compensator failure and poor function. Four key components, affecting the door system safety of high-speed train, are identified in terms of door control unit, driving device, locking mechanism and platform compensator. Research outcomes can be used in analyzing the failure causes and specific solutions to reduce and avoid the high-speed train operation risk.


2013 ◽  
Vol 300-301 ◽  
pp. 1405-1411 ◽  
Author(s):  
Long Sheng Wang ◽  
Hong Ze Xu ◽  
Heng Yu Luo

An intelligent control strategy is proposed in this paper, which is applied to the high-speed train ATO (Automatic Train Operation) system in the cruise condition. The dynamics of a high-speed train is discussed based on a typical single-point-mass model and the force analysis in cruise state is studied. A fuzzy neural network control algorithm is incorporated into the ATO system aiming at improving the velocity and position tracking performance in the cruise operation of high-speed train. This control scheme adjusts the parameters of membership functions on-line and does not rely on the precise system parameters such as resistance coefficients which are very difficult to measure in practice. The numerical simulation verifies the effectiveness of this fuzzy neural network algorithm.


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