A two-dimensional lateral interaction crash risk evaluation model considering imbalanced data

R Yu, N Xie, H Zhang - Journal of Transportation Safety & Security, 2024 - Taylor & Francis
There are more than 539,000 crashes caused by vehicle-vehicle lateral interactions
annually. To address this issue, proactively capturing lane-changing (LC) intentions and …

Investigating the impacts of driver's risky driving behavior on traffic crash risk detection model

M Guo, X Zhao, Y Yao, H Yang, J Qi… - Journal of Transportation …, 2024 - Taylor & Francis
This research investigates the impacts of the driver's risky driving behavior on traffic crash
risk detection by constructing four models, including models with and without the use of risky …

Empirical approach for identifying potential rear-end collisions using trajectory data

N Raju, S Arkatkar, S Easa, G Joshi - Journal of Transportation …, 2022 - Taylor & Francis
This paper proposes a novel approach for examining rear-end collisions between
successive vehicles in a traffic stream. In this approach, a new safety measure of the follower …