Research on Vehicle Following and Overtaking Safety Distance Models Considering Trust Level of Driving

To investigate the influence of drivers’ cognitive differences on the vehicle driving process, this paper focuses on the mechanism of drivers’ cognition of vehicles, roads, and environments. Existing studies of vehicle following and overtaking usually set the driver reaction time, vehicle braking deceleration, and acceleration as fixed values, ignoring the individual differences of drivers and their influence by road conditions. Therefore, firstly, the concept of “trust level of driving” is proposed and real vehicle tests and simulator tests for different drivers and different working conditions are designed to quantify the trust level of driving. Addressing the limitations of existing car‐following and overtaking models, a safety distance model and a two‐way dual‐lane highway overtaking model are developed based on trust level of driving. Finally, the driving simulator is used to create scenarios, and the effectiveness of the model is verified. The safe vehicle distance and overtaking distance required by drivers with different trust levels of driving are obtained, and their applicability is explained. In this study, a more accurate and humanized model of safe distance and overtaking was developed to help address driver cognitive deficits and improve traffic safety.

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Publication Details

Journal
Journal of Advanced Transportation
Published
2025-01-01
DOI
https://doi.org/10.1155/atr/2620274
Citations
1
Primary Topic
Traffic and Road Safety
Type
article
Field-Weighted Citation Impact
1.30

Funders

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article

Research on Vehicle Following and Overtaking Safety Distance Models Considering Trust Level of Driving

1 citations
Journal of Advanced Transportation
Traffic and Road Safety
1.30
article

Research on Vehicle Following and Overtaking Safety Distance Models Considering Trust Level of Driving

article en
1 citations

Abstract

To investigate the influence of drivers’ cognitive differences on the vehicle driving process, this paper focuses on the mechanism of drivers’ cognition of vehicles, roads, and environments. Existing studies of vehicle following and overtaking usually set the driver reaction time, vehicle braking deceleration, and acceleration as fixed values, ignoring the individual differences of drivers and their influence by road conditions. Therefore, firstly, the concept of “trust level of driving” is proposed and real vehicle tests and simulator tests for different drivers and different working conditions are designed to quantify the trust level of driving. Addressing the limitations of existing car‐following and overtaking models, a safety distance model and a two‐way dual‐lane highway overtaking model are developed based on trust level of driving. Finally, the driving simulator is used to create scenarios, and the effectiveness of the model is verified. The safe vehicle distance and overtaking distance required by drivers with different trust levels of driving are obtained, and their applicability is explained. In this study, a more accurate and humanized model of safe distance and overtaking was developed to help address driver cognitive deficits and improve traffic safety.

Journal of Advanced TransportationVol. 2025(1)
Jilin University (CN), Jilin Jianzhu University (CN), Changchun University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 15%
Traffic and Road Safety
1.30
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