Analysis and Evaluation of Safe Driving Behavior of Transportation Vehicles

With the continuous development of Internet of vehicles technology, the current road transportation industry and other relevant departments use the data of Internet of vehicles and other systems to carry out the data analysis of road transportation process safety management, in order to improve the level of transportation safety management and transportation efficiency. There are regular transportation routes and drivers in each vehicle under the control of a transportation enterprise. During each transportation process of the driver, the vehicle can automatically collect the driving status information under the current driving behavior and upload it to the Internet of vehicles system. Driving behavior may change with weather, road conditions and other factors, which further affects driving safety, transportation efficiency and energy saving level. Firstly, this paper analyzes and filters the driving data of 450 vehicles, excludes the abnormal conditions of transport vehicles in the driving route, filters out abnormal or missing data, selects the 2023 road traffic accident statistics annual report, and makes statistics on the causes of traffic accidents. After the normalization test, each behavior is scored. The fuzzy comprehensive evaluation model is used to establish the driving safety evaluation model of the vehicle. After the model is established, sample data are selected for example analysis and the evaluation results are given.