Analysis of the Influence of an Intelligent Connected Vehicle Warning System on Drivers’ Collision Avoidance Behavior on Slippery Roads

In order to explore the influence of an intelligent connected vehicle’s collision warning system on drivers’ collision avoidance behavior on slippery roads during highway driving, a driving simulation study was conducted under rainy and snowy weather conditions. An accident warning system was implemented within the simulation. Four sets of experimental scenarios were designed, taking into account varying levels of accident urgency and the activation of the warning system. Volunteer participants were recruited to complete a total of 64 sets of simulated experiments, and data regarding vehicle status and driver operations were collected. Descriptive metrics such as the driving stability, collision risk, and driver reaction time were derived. Finally, the intervention mechanism of the accident warning system and the characteristics of driver operations were analyzed. It is expected that this research could provide valuable insights for studying accident risks on highways in rainy and snowy weather conditions.

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Published
2024-12-11
DOI
https://doi.org/10.1061/9780784485484.337
Primary Topic
Autonomous Vehicle Technology and Safety
Type
article
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article

Analysis of the Influence of an Intelligent Connected Vehicle Warning System on Drivers’ Collision Avoidance Behavior on Slippery Roads

Wenguan Cao, S. Liu, Qiming Yao, Haorong Peng et al.
Autonomous Vehicle Technology and Safety
article

Analysis of the Influence of an Intelligent Connected Vehicle Warning System on Drivers’ Collision Avoidance Behavior on Slippery Roads

Wenguan Cao, S. Liu, Qiming Yao, Haorong Peng, Jinhang Pan, Zhiping Xia
article en

Abstract

In order to explore the influence of an intelligent connected vehicle’s collision warning system on drivers’ collision avoidance behavior on slippery roads during highway driving, a driving simulation study was conducted under rainy and snowy weather conditions. An accident warning system was implemented within the simulation. Four sets of experimental scenarios were designed, taking into account varying levels of accident urgency and the activation of the warning system. Volunteer participants were recruited to complete a total of 64 sets of simulated experiments, and data regarding vehicle status and driver operations were collected. Descriptive metrics such as the driving stability, collision risk, and driver reaction time were derived. Finally, the intervention mechanism of the accident warning system and the characteristics of driver operations were analyzed. It is expected that this research could provide valuable insights for studying accident risks on highways in rainy and snowy weather conditions.

Tongji University (CN), Shanghai Urban Transportation Design Institute (China) (CN), Shanghai Tongji Urban Planning and Design Institute (CN)
Climate action
Openalex Percentile: Top 76%
Autonomous Vehicle Technology and Safety
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Analysis of the Influence of an Intelligent Connected Vehicle Warning System on Drivers’ Collision Avoidance Behavior on Slippery Roads — Wenguan Cao, S. Liu, et al. · (2024) | TGRS Research Map | TGRS