Dynamic Bayesian Network Approach to Evaluate Vehicle Driving Risk Based on On-Road Experiment Driving Data
In this work, we utilize a dynamic Bayesian network for an inferential analysis of driving-related risks based on our assessment of real-world driving data.On-road driving tonic shower cap tests are carried out to gather and analyze data to identify different evaluation indicators of driving-related risks.These indicators include the distance betwe