Risk Prediction of Lane-Changing Considering Truck Oppression and Driving Style

Multi-Objective Deep Deterministic Policy Gradient for Improving the Safety of Signalized Control in Low Connected Vehicle Penetration Rates

Enhancing Intersection Safety in Autonomous Traffic: A Grid-Based Approach with Risk Quantification

Comprehensive Safety Impacts Analyses of the Augmented Reality Warning and Navigation System

How Would Autonomous Vehicles Behave in Real-World Crash Scenarios?

Research on Traffic Risk Early-warning Method of Highway Operation Areas with High Traffic and Truck Ratio

Perception Uncertainty Quantification Using Multi-Variance Inference Ensemble Network for Autonomous Vehicle

Two-Step Deep Reinforcement Learning for Traffic Signal Control to Improve Pedestrian Safety Using CV Data

Risk and Complexity Assessment ofAutonomous Vehicle Testing Scenarios Using Comprehensive Evaluation Method Based on Spherical Fuzzy- Analysis Network Process

A Study on the Eye Movement Behavior of Commercial Vehicle Drivers