Traffic safety evaluation based on unascertained measure model

Shi-lun Zheng; Yun-wei Meng; Feng-jun Li; Chang-hua Wang; Shi-quan Sun

doi:10.1117/12.2613687

10 November 2021 Traffic safety evaluation based on unascertained measure model

Shi-lun Zheng, Yun-wei Meng, Feng-jun Li, Chang-hua Wang, Shi-quan Sun

Proceedings Volume 12050, International Conference on Smart Transportation and City Engineering 2021; 120501N (2021) https://doi.org/10.1117/12.2613687
Event: 2021 International Conference on Smart Transportation and City Engineering, 2021, Chongqing, China

Abstract

In order to evaluate the safety of expressway, based on the theory of unascertained measurement, a safety evaluation model of expressway is established. First, eight indicators are selected from four aspects: weather and climate, traffic facilities, traffic conditions, and road subjects to establish the evaluation system and standards; then the unascertained measurement function of each indicator is established based on the data; then the weight is determined by the information entropy method, Using the confidence recognition criterion to determine the level, the safety evaluation result of the expressway is finally obtained. Comparing the research results with the results obtained by the fuzzy comprehensive evaluation method, the results show that the unascertained measurement theory method can scientifically and accurately evaluate the safety of expressways, is scientific and reasonable, and has strong practicability, and can be popularized and applied in actual projects.

Citation Download Citation

Shi-lun Zheng, Yun-wei Meng, Feng-jun Li, Chang-hua Wang, and Shi-quan Sun "Traffic safety evaluation based on unascertained measure model", Proc. SPIE 12050, International Conference on Smart Transportation and City Engineering 2021, 120501N (10 November 2021); https://doi.org/10.1117/12.2613687

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