Hierarchical Bayesian Threshold Excess Model for Real-Time Vehicle-Based Conflict Prediction in Dynamic Traffic Environment

The dataset focuses on vehicle conflicts on the motorway, it has both vehicle kinematics data between the ego-vehicle and neighbouring vehicles, as well as traffic-based variables. The traffic variables are collected from 500m road segments and are averaged over a 5 min period before the ego-vehicle passed at every time step. If several consecutive loop detectors were not functioning, the missing cells are stored as -1. The data uses Modified Time-To-Collision as the conflict indicator. It was reconstructed a posteriori by synchronising collected driving data with corresponding traffic data that would theoretically be available in real time. This approach ensures temporal and spatial consistency between datasets, enabling realistic simulation of real-time data collection scenarios.