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Situational awareness of rail safety

Author: FanHuiChuan
Tutor: JiaLiMin
School: Beijing Jiaotong University
Course: Safety Technology and Engineering
Keywords: Rail transport Security Situation Awareness Cause and Effect Diagram Hidden Markov chain Groom Support Vector Machine
CLC: U298
Type: Master's thesis
Year: 2011
Downloads: 222
Quote: 1
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Abstract


Abstract: The rail traffic in the transport system has a backbone role in national economic development has played an increasingly important role. Rail transport system in the event of accidents, will result in heavy casualties and property losses, so the protection of rail transportation safety is especially important. Security situation awareness is a new security technology that analyzes the system's security status and security trends. Thesis of rail transportation security situation awareness issues, the paper's main contents are as follows: (a) in an overview of domestic and international security and safety in rail traffic situational awareness in the field of research, based on the analysis of the security situation awareness used in rail traffic the need for safety analysis, a clear track safety definition and meaning of situational awareness, established for different rail systems used to adapt the security situational awareness methods technical route. (2) the causal diagram and risk analysis combining explicit mechanism proposed for the rail transport system based on the causal model rail transportation security situational awareness, first under the causal diagram to determine the risk of the system changes over time, and then use other risk curve evaluate their security status, and finally the use of causal diagram analysis of motor overheating car accident, the safety car on track vehicle situational awareness. (3) due to implicit state Markov chain with safety training and security status identification function, so the use of hidden Markov chains, but the mechanism is not clear and easy access to the output of the rail transport system for security situational awareness, the first step is to use Baum -Welch algorithm to train to get a variety of security status hidden Markov chains, the second step is the use of forward-based dynamic programming method for probabilistic reasoning and secure state recognition, through the use of hidden Markov chain bogie suspension system Security Situation Awareness, explains based on hidden Markov chain rail transportation security situation awareness feasibility and practicality. (4) based on support vector machine has the characteristics of classification and regression, to establish a suitable mechanism is not clear, but easily accessible input based on support vector machine model rail transportation security situation awareness, support vector machine classification status can be evaluated for safety and Support vector machine regression prediction can achieve security parameters to achieve the purpose of security situational awareness, research in the use of SVM train curves through sexual cases, the use of cross-validation method of punishment coefficient C and radial basis kernel function parameter γ optimized, fully illustrated validation data support vector machines for train curves through security situational awareness accuracy.

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CLC: > Transportation > Rail transport > Rail transport management projects > Security technology
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