Monte Carlo train derailment model for risk assessment

被引:5
|
作者
Ruan, Weidong [1 ]
Lin, Zongli [1 ]
Giras, Ted C. [1 ]
机构
[1] Univ Virginia, Charles L Brown Dept Elect & Comp Engn, POB 400743, Charlottesville, VA 22904 USA
关键词
train derailment; probability of derailment; derailment coefficient; genetic algorithm; ASCAP; axiomatic safety critical assessment process;
D O I
10.1504/IJMIC.2008.021091
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A Monte Carlo train over-speed derailment model for risk assessment is developed based on the derailment coefficient (wheel lateral and vertical force ratio). The model considers a one lump train negotiating on curved tracks or tangent tracks. The derailment coefficients for these two situations are calculated and the probabilities of train derailment are obtained to enhance a large scale Monte Carlo railroad risk assessment simulator called the axiomatic safety critical assessment process (ASCAP). A genetic algorithm based approach is taken to performing the validation of this Monte Carlo train derailment model. From the perspective of railroad risk assessment, the model is analysed and compared with an empirical formula, which is currently used in ASCAP. The Monte Carlo train over-speed derailment model will replace the current empirical formula in ASCAP simulator and will be able to provide a more realistic determination of the probability of train derailment.
引用
收藏
页码:134 / 144
页数:11
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