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| Study on the Risk of Truck Rear-end Collision in Continuous Downhill Section of Expressway |
| ZOU Hai-yun1, LIU Kai2, ZHANG Chi2, MA Ru-peng3, WANG Bo2 |
1. Sichuan Leshan-Xichang Expressway Co., Ltd, Chengdu Sichuan 610000, China;
2. School of Highway, Chang'an University, Xi' an Shaanxi 710064, China;
3. Hunan Provincial Communications Planning, Survey & Design Institute Co., Ltd., Changsha Hunan 710200, China |
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Abstract In order to improve the safety of truck traffic on continuous downhill sections of highways, optimise traffic safety management or the design of traffic safety facilities, study in depth the risk of rear-end accidents of trucks on continuous downhill sections of highways, based on actual measurement data, put forward the evaluation index of rear-end risk considering the speed difference and headway time distance-Collision Deceleration Rate（CDR). Collision Reduction Rate (CDR). Firstly, the principle of risk of rear-end accidents of trucks on long downhill road sections is analysed, and the data of trucks travelling on long downhill road sections in a special control area of a western motorway are used to determine the risk influencing factors as speed difference and headway time distance; then, the distribution law of effective CDR data is analysed and calculated through fitting distribution test, and the 85% quantile value of its distribution is taken as the threshold value of dangerous CDR; finally, the collision potential index (CPI) is combined with the concept (CPI) to establish a CDR-based continuous downhill truck rear-end risk probability model. Based on the tailgating accident data in the special control area of the motorway, the CDR-based continuous downhill truck tailgating risk probability model is applied and tested, and the results show that: in the fitted distribution test, the CDR samples of the studied continuous downhill section obey lognormal distribution, and the threshold value of hazardous CDR is 0.4916 m/s2; there are more significant differences in the tailgating probability risk at different measurement points, while the tailgating risk at different The correlation coefficient between the accident rate data and the probability risk data is r(X,Y)=94.5%, which is a strong correlation, i.e. the trend of the accident rate data and the probability risk data is consistent, indicating that the CDR-based probability model of tailgating accident risk can provide a scientific assessment basis for the risk study of continuous downhill sections of highways, and the research method can be used for The study method can also be used as a reference for other sections of highways.
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Received: 31 May 2022
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| Fund:Supported by the Science and Technology Project of Sichuan Provincial Department of Transportation (No.2021-ZL-15); the Sichuan Provincial Science and Technology Program Grant (No.2022YFG0048) |
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2022, Vol. 16 
