Tarek Ghoul
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View article: Cyclist safety assessment using autonomous vehicles
Cyclist safety assessment using autonomous vehicles Open
Proactive and holistic safety management approaches should consider multi-modal crash risk. Cyclist crash risk should be prioritized given the high-severity of vehicle-cyclist crashes. Cyclist crash risk is difficult to quantify given the …
View article: Enforcing Traffic Safety: A Deep Learning Approach for Detecting Motorcyclists’ Helmet Violations Using YOLOv8 and Deep Convolutional Generative Adversarial Network-Generated Images
Enforcing Traffic Safety: A Deep Learning Approach for Detecting Motorcyclists’ Helmet Violations Using YOLOv8 and Deep Convolutional Generative Adversarial Network-Generated Images Open
In this study, we introduce an innovative methodology for the detection of helmet usage violations among motorcyclists, integrating the YOLOv8 object detection algorithm with deep convolutional generative adversarial networks (DCGANs). The…
View article: Real-Time Safety Optimization of Connected Vehicle Trajectories Using Reinforcement Learning
Real-Time Safety Optimization of Connected Vehicle Trajectories Using Reinforcement Learning Open
Speed advisories are used on highways to inform vehicles of upcoming changes in traffic conditions and apply a variable speed limit to reduce traffic conflicts and delays. This study applies a similar concept to intersections with respect …
View article: Exploring the applications of connected vehicle data to real time safety optimization at isolated intersections
Exploring the applications of connected vehicle data to real time safety optimization at isolated intersections Open
The proliferation of Connected Vehicles and their ability to collect a large amount of data present an opportunity for real-time safety optimization of traffic networks. At intersections, Adaptive Traffic Signal Control (ATSC) systems and …