Enhancing intersection safety in autonomous traffic: a grid-based approach with risk quantification

W Wu, S Chen, M Xiong, L Xing - Accident Analysis & Prevention, 2024 - Elsevier
Existing studies on autonomous intersection management (AIM) primarily focus on traffic
efficiency, often overlooking the overall intersection safety, where conflict separation is …

Modeling the lane-changing behavior of non-motorized vehicles on road segments via social force model

X Hou, R Zhang, M Yang, S Cheng - Physica A: Statistical Mechanics and …, 2024 - Elsevier
Using traffic marking to separate non-motorized lane from the adjacent motorized lane is a
common traffic design method for urban road segments. With the increase in non-motorized …

Enhancing road safety through advanced predictive analytics in V2X communication networks

FAM Al-Yarimi - Computers and Electrical Engineering, 2024 - Elsevier
Abstract" SafeRouteX," which stands for" Enhancing Road Safety through Advanced
Predictive Analytics in V2X Communication Networks," is a novel approach to Vehicle-to …

Exploratory analysis of evasion actions of powered two-wheeler conflicts at unsignalized intersection

P Kar, S Kumar, S Samalla, M Chunchu… - Accident Analysis & …, 2024 - Elsevier
The study investigates the braking and steering evasions of powered two-wheelers (PTWs)
during severe conflicts observed at an unsignalized intersection. Traffic conflicts were …

Integrating surrounding vehicle information for vehicle trajectory representation and abnormal lane-change behavior detection

D Xu, M Liu, X Yao, N Lyu - Sensors, 2023 - mdpi.com
The detection of abnormal lane-changing behavior in road vehicles has applications in
traffic management and law enforcement. The primary approach to achieving this detection …

Developing a new integrated advanced driver assistance system in a connected vehicle environment

W Zhao, S Gong, D Zhao, F Liu, NN Sze… - Expert Systems with …, 2024 - Elsevier
Advanced driver assistance systems (ADASs) can effectively enhance driving and safety
performance. Due to the inherent limitations of in-vehicle technologies concerning …

[HTML][HTML] A Survey of Autonomous Vehicle Behaviors: Trajectory Planning Algorithms, Sensed Collision Risks, and User Expectations

T Xia, H Chen - Sensors, 2024 - mdpi.com
Autonomous vehicles are rapidly advancing and have the potential to revolutionize
transportation in the future. This paper primarily focuses on vehicle motion trajectory …

Factors, Prediction, and Explainability of Vehicle Accident Risk Due to Driving Behavior through Machine Learning: A Systematic Literature Review, 2013–2023

J Lacherre, JL Castillo-Sequera, D Mauricio - Computation, 2024 - mdpi.com
Road accidents are on the rise worldwide, causing 1.35 million deaths per year, thus
encouraging the search for solutions. The promising proposal of autonomous vehicles …

Impacts of information quantity and display formats on driving behaviors in a connected vehicle environment

W Zhao, S Gong, D Zhao, F Liu, NN Sze… - Accident Analysis & …, 2024 - Elsevier
The emerging connected vehicle (CV) technologies facilitate the development of integrated
advanced driver assistance systems (ADASs), with which various functions are coordinated …

[HTML][HTML] Modeling coupled driving behavior during lane change: A multi-agent Transformer reinforcement learning approach

H Guo, M Keyvan-Ekbatani, K Xie - Transportation Research Part C …, 2024 - Elsevier
In a lane change (LC) scenario, the lane change vehicle interacts with surrounding vehicles.
The interactions not only affect their driving behaviors but also influence the traffic flow. This …