Using Driving Behavior Transfer Mode to Evaluate The Driver Risk of Commercial Trucks: A Case Study in China

The purpose of this research is to explore the relationship between the driver‘s driving risk and the driving behavior transfer mode (transfer law from one driving behavior to the next) of commercial trucks and find a way to evaluate the risk of a specific driver using satellite positioning data. The driving behaviors are derived from the original satellite positioning data collected from a Chinese transportation company. The driving behavior transfer mode was studied. Based on the driving behavior transfer mode and the relationship between the driver’s risk level and driving behavior transfer mode, the Hidden Markov Model (HMM), Markov Model (MM), and Comprehensive Model (CM) were designed to evaluate the driver's risk level of commercial trucks respectively. The results show that driving behavior transfer mode can indeed be used to evaluate the driver’s risk level. The HMM can more effectively identify low-risk drivers, the CM can more effectively distinguish high-risk drivers, and the MM is in the middle of them. The results of this study should help decision-makers and transportation companies evaluate the risk level of commercial truck drivers from a new perspective.