Driving style characteristics based lane-changing intention recognition research for truck drivers near highway ramps

The main conclusions are as follows: the lane-changing process consists of two stages: intention and execution. Driving style is a critical factor in the establishment of lane-changing intention models. Four seconds is a proper time window for lane-changing intention prediction. The lane-changing behavior characteristics of truck drivers differ significantly from those of sedan drivers. The study results improve the understanding of truck lane-changing behavior near highway ramps, and they also help to figure out the safety mechanisms in the future human-vehicle cooperative traffic scenarios.

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Publication Details

Journal
Traffic Injury Prevention
Published
2025-06-27
DOI
https://doi.org/10.1080/15389588.2025.2507671
Citations
1
Primary Topic
Traffic and Road Safety
Type
article
Field-Weighted Citation Impact
1.30

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article

Driving style characteristics based lane-changing intention recognition research for truck drivers near highway ramps

Shunli Ouyang, Yi Li, Xiaomeng Wang, Jiabin Cai
1 citations
Traffic Injury Prevention
Traffic and Road Safety
1.30
article

Driving style characteristics based lane-changing intention recognition research for truck drivers near highway ramps

Shunli Ouyang, Yi Li, Xiaomeng Wang, Jiabin Cai
article en
1 citations

Abstract

The main conclusions are as follows: the lane-changing process consists of two stages: intention and execution. Driving style is a critical factor in the establishment of lane-changing intention models. Four seconds is a proper time window for lane-changing intention prediction. The lane-changing behavior characteristics of truck drivers differ significantly from those of sedan drivers. The study results improve the understanding of truck lane-changing behavior near highway ramps, and they also help to figure out the safety mechanisms in the future human-vehicle cooperative traffic scenarios.

Traffic Injury PreventionVol. 27(3)
Community College of Philadelphia (US), Shanghai Maritime University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 20%
Traffic and Road Safety
1.30
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Driving style characteristics based lane-changing intention recognition research for truck drivers near highway ramps — Shunli Ouyang, Yi Li, et al. · Traffic Injury Prevention (2025) | TGRS Research Map | TGRS