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A review of truck driver persona construction for safety management
H Li, W Wang, Y Yao, X Zhao, X Zhang - Accident Analysis & Prevention, 2024 - Elsevier
The trucking industry urgently requires comprehensive methods to evaluate driver safety,
given the high incidence of serious traffic accidents involving trucks. The concept of a “truck …
given the high incidence of serious traffic accidents involving trucks. The concept of a “truck …
Advancements in Traffic Simulation for Enhanced Road Safety: A Review
Traffic simulation techniques play a crucial role in transportation engineering, offering a
sophisticated framework for analysing the intricate dynamics within transportation systems …
sophisticated framework for analysing the intricate dynamics within transportation systems …
Integrating visual large language model and reasoning chain for driver behavior analysis and risk assessment
K Zhang, S Wang, N Jia, L Zhao, C Han, L Li - Accident Analysis & …, 2024 - Elsevier
Driver behavior is a critical factor in driving safety, making the development of sophisticated
distraction classification methods essential. Our study presents a Distracted Driving …
distraction classification methods essential. Our study presents a Distracted Driving …
Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques
The flourishing realm of advanced driver-assistance systems (ADAS) as well as autonomous
vehicles (AVs) presents exceptional opportunities to enhance safe driving. An essential …
vehicles (AVs) presents exceptional opportunities to enhance safe driving. An essential …
Evolving testing scenario generation and intelligence evaluation for automated vehicles
Y Ma, W Jiang, L Zhang, J Chen, H Wang, C Lv… - … Research Part C …, 2024 - Elsevier
Interaction between the background vehicles (BVs) and automated vehicles (AVs) in
scenario-based testing plays a critical role in evaluating the intelligence of the AVs. Current …
scenario-based testing plays a critical role in evaluating the intelligence of the AVs. Current …
Deep learning model for driver behavior detection in cyber-physical system-based intelligent transport systems
BB Gupta, A Gaurav, KT Chui, V Arya - IEEE Access, 2024 - ieeexplore.ieee.org
As Intelligent Transport Systems (ITS) continue to evolve, the quest for improving road safety
and transportation efficiency has gained renewed emphasis. One of the pivotal aspects in …
and transportation efficiency has gained renewed emphasis. One of the pivotal aspects in …
AI-Driven Driver Behavior Assessment Through Vehicle and Health Monitoring for Safe Driving-A Survey
Safe driving is a serious and challenging concern that is dependent on driver behaviors
including aggressive, distracted, fatigued, and drowsy driving. In a smart society, in-vehicle …
including aggressive, distracted, fatigued, and drowsy driving. In a smart society, in-vehicle …
[HTML][HTML] 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 …
traffic management and law enforcement. The primary approach to achieving this detection …
Predicting autonomous driving behavior through human factor considerations in safety-critical events
J Raiyn, G Weidl - Smart Cities, 2024 - mdpi.com
This paper investigates the ability of autonomous driving systems to predict outcomes by
considering human factors like gender, age, and driving experience, particularly in the …
considering human factors like gender, age, and driving experience, particularly in the …