Research on Rail Safety Security System
Commenced in January 2007
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Research on Rail Safety Security System

Authors: Cai Guoqiang, Jia Limin, Zhou Liming, Liang yu, Li xi

Abstract:

This paper analysis the integrated use of safety monitoring with the domestic and international latest research on rail safety protection system, and focus on the implementation of an organic whole system, with the monitoring and early warning, risk assessment, predictive control and emergency rescue system. The system framework, contents and system structure of Security system is proposed completely. It-s pointed out that the Security system is a negative feedback system composed of by safety monitoring and warning system, risk assessment and emergency rescue system. Safety monitoring and warning system focus on the monitoring target monitoring, early warning, tracking, integration of decision-making, for objective and subjective risks factors. Risk assessment system analysis the occurrence of a major Security risk mechanism, determines the standard of the future short, medium and long term safety conditions, and give prop for development of safety indicators, accident analysis and safety standards. Emergency rescue system is with the goal of rapid and effective rescue work for accident, to minimize casualties and property losses.

Keywords: rail safety protection, monitoring and early warning, risk assessment, emergency rescue.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1078066

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References:


[1] Alexander Fay. A fuzzy knowledge-based system for railway traffic control Engineering. Applications of Artificial Intelligence. 13(2000) : 719-729
[2] G.K. Palshikar. Safety checking in an automatic train operation system. Information and Software Technology 43 (2001) : 325-338
[3] Michele Missiko. An object-oriented approach to an information and decision support system for railway traffic control. Engineering Applications of Artificial Intelligence. 11(1998) pp25-40
[4] T.X.Mei and R.M.Goodall. LQG and GA solutions for active steering of railway vehicles. IEE Proceedings-Control Theory and Applications. 2000,Vol.147 (1)
[5] E.Lamma , P.Mello &M.Milano. A Distributed constraint-based scheduler. Artificial Intelligence in Engineering. 11(1997) : 91-105
[6] David R. Martinelli , Hualiang Teng. Optimization of Railway Operations Using Neural Networks. Transom.Res.-C. 1996,1,4(1): 33-49
[7] Laplante , Phillip A. ,Woolsey , Frederick C. IEEE 1473 :An Open-Source Communications Protocol for Railway Vehicles. IT Professional. 2003(6)
[8] Sang,wanqiu, Jia, limin, Zhang, xidi. The consistent of high speed rail traffic safety Security system, 1997,12:27-31
[9] Shi, tianyun, Jia, limin. the application of genetic algorithm in fault diagnosis. The eleventh China control and decision-making science annual meeting essays. Dongbei university press, 1999,5
[10] Guoqiang Cai, Yangdong Ye, Limin Jia. Research on Relative Error Rate Analysis Method between the Earth Surface Safety Monitoring Devices of Vehicle Operation Estate. Proceedings of The World Congress on Intelligent Control and Automation(WCICA'04). June 15-19, 2004 , HangZhou,China:3067-3071
[11] Zhang jianhua, Jia limin, Zhang xidi, new fuzzy forecast control and its application on train auto-running. China rail science, 1996,4,17(4): 101-109
[12] Wang jing, Jia limin. the application of neural network on f high speed train operating intelligent controlling. China rail science, 1995,12 , 16(4): 111-116
[13] Jia limin, Zhang jianhua, Zhang xidi. Status quo and prospect of high speed rail traffic train operation control. China rail science, 1996,4, 17(4):95-100
[14] Li-Min Jia and Xi-Di Zhang. Distributed Intelligent Railway Traffic Control Based on Fuzzy Decision making. Fuzzy Sets and System. 62(1994) :255-265
[15] Li-Min Jia and Xi-Di Zhang. Distributed Intelligent railway Traffic Control: A Fuzzy-Decision-making-Based Approach. Engng Applic, Artif. Intell,Vol. 7,No.3 1994
[16] Jiang qiuhua, Jia limin. Mathematical model research of train operating system. The sixth youth science conference of China rail society. 1998,10. Beijing
[17] Wang fuzhang, Li ping, Liu deshan.. intelligent synthetic monitoring system and key technology of urban railway system. China railway transportation, 2004,8 :54-57
[18] Zhao haidong, Liu hewen, Yang tihui, Jia limin. Research of high speed operating control system. China rail science, 2000,1. 21(1):31-36
[19] Yang qi, Wang xiaojing. Standard system theory and method of intelligent transportation system. China railway press. 2003.5