Risk assessment model of traffic safety operation of urban road based on integration of vehicle-road-cloud

被引：0
作者：
Ma Y.L. [1 ]
Tian H. [1 ]
Li R. [1 ]
Xu S.C. [2 ]
Xu Y. [1 ,3 ]
Li Z.X. [4 ]
机构：
[1] Suzhou Automotive Research Institute, Tsinghua University, Suzhou
[2] State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing
[3] School of Engineering, Ocean University of China, Tsingtao
[4] Yonsei Frontier Lab, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul
来源：
Advances in Transportation Studies | 2021年 / 2021卷 / Special Issue 3期
关键词：
Cloud computing; Cloud perception; Regression model; Road data perception; Vehicle end data perception; Vehicle road cloud integration;
D O I：
10.53136/97912599449621
中图分类号：
学科分类号：
摘要：
Accurate operational risk assessment model of urban road traffic safety is an important basis to reduce the probability of accidents. This paper constructs a risk assessment model of urban road traffic safety operation based on vehicle road aggregation. First, the braking response time of vehicles on urban roads is obtained, and the braking acceleration speed of vehicles is perceived, and the minimum safety threshold of vehicles is set, and the safe distance of roads is extracted. Then, cloud computing was used to fuse vehicle end perception data and road end perception data, and the clustering center of operation data was automatically determined by linear regression model and residual analysis, and the dimensions of different attribute data were determined by binary method. Finally, the risk index system of urban road traffic safety operation is constructed, and the risk evaluation model is designed by using fuzzy comprehensive evaluation method. The results show that the model can improve the accuracy of safe operation risk assessment. © 2021, Aracne Editrice. All rights reserved.
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页码：3 / 12
页数：9
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