Intelligent Anomaly Detection for Lane Rendering Using Transformer with Self-Supervised Pre-Training and Customized Fine-Tuning

Sequential Neural Network Model with Spatial-Temporal Attention Mechanism for Robust Lane Detection Using Multi Continuous Image Frames

Robust Lane Detection through Self Pre-training with Masked Sequential Autoencoders and Fine-tuning with Customized PolyLoss

Influence of Behavioural Model Formulation on Surrogate Safety Measures in Traffic Microsimulation

Response times in drivers' gap acceptance decisions during overtaking

Safety Assessment of the Interaction Between an Automated Vehicle and a Cyclist: A Controlled Field Test

Data-driven Semi-supervised Machine Learning with Surrogate Safety Measures for Abnormal Driving Behavior Detection

Characterizing Behavioral Differences of Autonomous Vehicles and Human-Driven Vehicles at Signalized Intersections Based on Waymo Open Dataset

Guest Editorial Introduction to the Special Issue on Deployment of Connected and Automated Vehicles in Mixed Traffic Environment and the Implications on Traffic Safety and Efficiency

Social-Aware Planning and Control for Automated Vehicles Based on Driving Risk Field and Model Predictive Contouring Control: Driving Through Roundabouts as a Case Study

Safe, Efficient, Comfort, and Energy-saving Automated Driving through Roundabout Based on Deep Reinforcement Learning

Social-aware Planning and Control for Automated Vehicles Based on Driving Risk Field and Model Predictive Contouring Control: Driving through Roundabouts as a Case Study

Modeling Gap Acceptance in Overtaking: A Cognitive Process Approach

Which visual cues do drivers use to anticipate and slow down in freeway curve approach? An eye-tracking, think-aloud on-road study

“I did not see that coming”: A latent variable structural equation model for understanding the effect of road predictability on crashes along horizontal curves

Towards common ethical and safe ‘behaviour’ standards for automated vehicles

Speed development at freeway curves based on high frequency floating car data

A Hybrid Spatial-temporal Sequence-to-one Neural Network Model for Lane Detection

Safety Performance Boundary Identification of Highly Automated Vehicles: A Surrogate Model-Based Gradient Descent Searching Approach

Do cyclists need HMIs in future automated traffic?: An interview study