Mission Diagnostic Protocol, Version 1.0: A Risk-Based Approach for Assessing the Potential for Success

Alberts, Christopher; Dorofee, Audrey; Marino, Lisa

doi:10.21236/ada479304

Cited by 3 publications

(1 citation statement)

References 6 publications

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“…In order to understand the causes of railway level-crossing accidents, just as the casualties, the loss of property and time, the scholars and technicians, from domestic and overseas, had done lots of researches and improvements works from aspects of the geometric design, the traffic controls and the traffic facilities [1][2][3][4], to reduce accidents and its damage. In order to improve the safety situation of the railway level-crossing, the reliable quantificational methods must be studied to find out the railways' safety risk factors and to assess its fatalness, so as to satisfy the need of the government for constitute the safety countermeasures.…”

Section: Introductionmentioning

confidence: 99%

Safety Recognition Model of Urban Railway Level-Crossings Based on Attribute Mathematics Method

Wang

Deng

2012

AMR

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Focusing on the road-railway level-crossings of the urban, basing on the attribute mathematics methods, the access safety influence factors of the railway level-crossings are analyzed. Basing on the analytic hierarchy process method, the assessment indexes, which impair the level-crossings system safety status, are set. Firstly, the attribute measurements of every single-index are calculated by mean of the construction of attribute measurement functions. Secondly, according to the similarity function theory, the similarity weights of the influence factors are defined, so as to assess the multi-indexes measurements objectively. Finally, make use of the confidence criterion to recognize the level-crossing system safety. Taking one of the railway level-crossings in Dalian as an example, the assessment results show that the attribute recognition result would not be affected by the index weight, namely, the weight values of the assessing indexes are considered as the same. The study shows that the method is feasible, reliable and easy for the synthetic safety assessment of the urban railway level-crossings safety

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Section: Introductionmentioning

confidence: 99%