3 papers
q-bio.NC2024
In the driver's mind: modeling the dynamics of human overtaking decisions in interactions with oncoming automated vehicles
Samir H. A. Mohammad, Haneen Farah, Arkady Zgonnikov
Understanding human behavior in overtaking scenarios is crucial for enhancing road safety in mixed traffic with automated vehicles (AVs). Computational models of behavior play a pi…
cs.LG2023
Data-Driven Semi-Supervised Machine Learning with Safety Indicators for Abnormal Driving Behavior Detection
Yongqi Dong, Lanxin Zhang, Haneen Farah +2
Detecting abnormal driving behavior is critical for road traffic safety and the evaluation of drivers' behavior. With the advancement of machine learning (ML) algorithms and the ac…
cs.RO2023
Safe, Efficient, Comfort, and Energy-saving Automated Driving through Roundabout Based on Deep Reinforcement Learning
Henan Yuan, Penghui Li, Bart van Arem +2
Traffic scenarios in roundabouts pose substantial complexity for automated driving. Manually mapping all possible scenarios into a state space is labor-intensive and challenging. D…