异质车型影响下智能汽车二维碰撞风险预测

doi:10.19562/j.chinasae.qcgc.2024.08.008

Abstract

Abstract:

Accurate prediction of collision risk is crucial for ensuring the driving safety of intelligent vehicles. However， the risk differentiation among heterogeneity vehicle types and its coupled effect in longitudinal and lateral directions has rarely been considered in existing driving risk assessment methods. Therefore， firstly， the behavior patterns of drivers of heterogeneous vehicle types are explored to analyze the influence of vehicle types on drivers' sensitivity to risk in this paper. Secondly， the heterogeneous risk thresholds for different combinations of vehicle types are identified， and the risk differentiation in such traffic surroundings is further quantified based on two-dimensional indicators. Finally， the coupled two-dimensional collision risk prediction model considering vehicle types is proposed， and the effectiveness of the model is validated through comparative analysis. This research helps to enhance the driving safety of intelligent vehicles， which also can provide a theoretical foundation for the development of collision warning systems for human-driven vehicles.

Key words: traffic safety, intelligent vehicles, heterogeneous vehicle types, collision risk prediction

Jialiang Zhu,Qiaobin Liu,Fan Yang,Lu Yang,Weihua Li. Two-Dimensional Collision Risk Prediction for Intelligent Vehicles Considering the Influence of Heterogeneous Vehicle Types[J].Automotive Engineering, 2024, 46(8): 1414-1421.

Figures/Tables 10

References 18

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车型组合	样本数	最大减速度	均值
Car-Car	1 567	-5.0	-0.46
Truck-Car	285	-2.45	-0.38
Car-Truck	504	-3.24	-0.48
Truck-Truck	382	-3.32	-0.41

车型组合	MTTC/s	TTC_lat/s
Car-Car	（4.8，11.4，11.7，18.5）	（1.6，4.6，4.7，9.0）
Truck-Car	（6.6，13.7，13.0，19.1）	（2.3，4.7，4.9，8.5）
Car-Truck	（4.6，8.1，9.6，18.0）	（1.9，4.8，5.2，9.4）
Truck-Truck	（5.8，12.8，12.9，18.9）	（1.5，4.1，4.5，8.7）

项目	全局固定阈值	异质车型阈值
车型组合		Car-Car	Truck-Car	Car-Truck	Truck-Truck
MTTC/s	5	4.5	6.0	4.2	5.5
传统方法误差/%		-11.0	16.7	-19.1	9.0
TTC_lat/s	1.5	1.2	2.0	1.7	1.4
传统方法误差/%		-24.1	25.0	11.8	-7.1
平均误差（绝对值）/%		17.5	20.8	15.4	8.1

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Two-Dimensional Collision Risk Prediction for Intelligent Vehicles Considering the Influence of Heterogeneous Vehicle Types

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