Open AccessThe multi-level urban rail traffic safety based on fuzzy TOPSIS evaluation research
Author(s) -
Jiaxu Chen
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/688/2/022010
Subject(s) - transport engineering , urban rail transit , topsis , analytic hierarchy process , fuzzy logic , rail transit , computer science , engineering , operations research , artificial intelligence
With the expansion of the scale of the urban rail transit network and the increase of the factors affecting the safety of the operation of the network, the operation risk of urban rail transit is also increasing. For urban rail transit network security problems, according to the statistical analysis of urban rail traffic accident, first constructed oriented network station, line, different levels of urban rail traffic safety evaluation index system, from the three levels of urban rail transit network security influence factors were analysed, and further improving the system of safety evaluation index; Secondly, TOPSIS evaluation method based on triangular fuzzy number is used in this paper to evaluate the safety risk of urban rail transit, which overcomes the disadvantage of subjective factors in AHP and FAHP evaluation methods. Finally, the model is calculated and analysed. This paper provides decision-making basis for the safety management department of urban rail transit, and has certain reference significance for improving the safety management level of urban rail transit.