Driving Risk Evaluation of Commercial Buses Based on Historical GPS Data

In order to reduce the operating risks of commercial buses (CBs) and improve the safety supervision level of passenger transportation enterprises, this paper proposes a risk assessment method for CBs driving risk based on extension cloud mode. Firstly, based on historical GPS data of CBs and on-site surveys, we establish a road section driving risk evaluation system covering 10 indicators. Secondly, we refer to the relevant norms to classify the risk level into 5 levels and determine the indicator weights based on the game theory idea using the portfolio assignment method. Then, we construct an extension cloud model to determine the road traffic risk level of the road section with the principle of maximum affiliation. Finally, we verify the validity and accuracy of the model by taking an actual passenger route as an example. Comparison results show that the method proposed in this paper is scientific and reasonable, and all the results are highly credible, which can effectively identify the high-risk road sections of CBs operation, and provide a theoretical basis for the refined management of road passenger transport operation safety.