Application of accident tree method and analytic hierarchy process in emergency vehicle traffic analysis

Zhaona Lu; Yan Wang; Chenyu Hu; Tong Xu; Chen Chen; Kejia Ma

doi:10.1117/12.2674555

23 May 2023 Application of accident tree method and analytic hierarchy process in emergency vehicle traffic analysis

Zhaona Lu, Yan Wang, Chenyu Hu, Tong Xu, Chen Chen, Kejia Ma

Proceedings Volume 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022); 126041A (2023) https://doi.org/10.1117/12.2674555
Event: 2nd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 2022, Guangzhou, China

Abstract

In order to determine the factors affecting emergency vehicle traffic and find out the mitigating measures, the accident tree method was used to qualitatively analyze the four main factors and 20 sub-factors affecting emergency vehicle traffic. Combined with analytic hierarchy process for quantitative analysis, using MATLAB to determine the weight of factors, the aim is to reduce the impact of subjective factors. The results show that among the four main factors, the weight value of traffic factor and road factor is as high as 0.834, which is the primary focus to determine the solution measures. Among the 19 sub-factors, the comprehensive weight sum of traffic accidents caused by intersection signal priority equipment, social vehicles not allowed, few lanes, complex terrain and emergency vehicles passing through the intersection is 0.543, which is more than half of the total weight. Therefore, it is necessary to solve the problem targeted.

Citation Download Citation

Zhaona Lu, Yan Wang, Chenyu Hu, Tong Xu, Chen Chen, and Kejia Ma "Application of accident tree method and analytic hierarchy process in emergency vehicle traffic analysis", Proc. SPIE 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 126041A (23 May 2023); https://doi.org/10.1117/12.2674555

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