Impact of Connected Collision Warning Information System on Freeway Driving Behavior in Foggy Conditions

doi:10.12141/j.issn.1000-565X.240122

Abstract

Abstract:

Freeway driving in foggy conditions poses significant safety risks and accident hazards. The connected collision warning information system (CCWIS) offers a novel approach to addressing this challenge, and its impact on driving behavior is fundamental to demonstrating its effectiveness. This study employed driving simulation technology to create a CCWIS testing platform. Considering dense fog weather conditions, it designs two driving environments: a baseline traditional and a comparative connected. And a typical collision risk scenario involving a sudden braking maneuver by a slow-moving vehicle ahead was constructed. A total of 27 participants were recruited to conduct driving simulation experiments to yield fine-grained microscopic data on driving behavior. An evaluation indicator system was developed from multiple dimensions, including stability, safety, and compliance, to quantitatively describe and statistically analyze the effectiveness of CCWIS during different interaction stages with the lead vehicle (slow-speed car-following and the frout vehicle emergency braking stage). The results indicate that, regarding stability, collision warning information may lead to a decrease in driving stability for a period during the slow-speed car-following stage. After the vehicle in the slow-speed car-following stage has decelerated to a stable state and during the front vehicle emergency braking stage, it exhibits better stability compared to scenarios without collision warning information. In terms of safety, collision warning information significantly reduces risks in terms of time, acceleration, and distance across multiple dimensions during the driving process. Regarding compliance, collision warning information can improve the level of driver compliance with preceding vehicle information, reducing the differences in driver compliance with preceding vehicle information between the slow-speed car-following and the front vehicle emergency braking stages. The results of this study can provide platform and theoretical support for the test and application of connected collision warning information systems in foggy environments of freeways.

Key words: freeway, foggy environment, connected technology, collision warning information system, driving behavioral

CLC Number:

U491.2

REN Wenhao, ZHAO Xiaohua, CHEN Chen, FU Qiang. Impact of Connected Collision Warning Information System on Freeway Driving Behavior in Foggy Conditions[J]. Journal of South China University of Technology(Natural Science Edition), 2025, 53(2): 27-37.

Figures/Tables 10

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性别	数量	年龄/岁		驾驶经验/a
性别	数量	均值	标准差	均值	标准差
全部	27	29.85	7.95	7.29	3.50
男性	17	32.00	8.41	8.62	3.13
女性	10	26.20	3.79	4.00	1.71

指标	无预警信息均值			有预警信息均值			预警信息显著性
指标	慢速跟驰	前车急刹	整个过程	慢速跟驰	前车急刹	整个过程	慢速跟驰	前车急刹	整个过程
THW/s	8.36	6.65	8.01	10.80	8.59	10.33	0.007**	0.012*	0.006**
DRAC/（m·s ^-2）	0.15	1.35	0.40	0.09	0.77	0.23	0.004**	0.003**	0.001**
PICUD/m	81.49	20.22	68.79	107.00	46.41	94.10	0.005**	0.002**	0.005**

指标	无预警信息均值		有预警信息均值		预警信息显著性		不同阶段显著性
指标	慢速跟驰	前车急刹	慢速跟驰	前车急刹	慢速跟驰	前车急刹	无预警	有预警
响应时间/s	4.43	2.59	3.72	3.15	0.018*	0.210	0.002**	0.248
相对速度变化	0.04	0.48	0.13	0.32	0.004**	0.215	0.001**	0.064
响应稳定时间/s	15.18	6.20	12.06	8.11	0.121	0.084	0.001**	0.078

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