A method and system for predicting driving risk

Abstract

The invention discloses a method for predicting driving risk, which includes: acquiring first target data used to characterize the trajectory of a first travel point of an object to be predicted; acquiring second target data used to characterize the environment of the first travel point of the object to be predicted obtain the third target data for characterizing the identity of the object to be predicted; determine the driving track of the object to be predicted according to the first target data; associate the driving track with the second target data to identify each of the driving tracks Driving behaviors in driving situations; when all driving trajectories that satisfy the third target data and are associated within a preset time period are detected, perform statistics on the driving behaviors in the respective driving situations to obtain first driving behavior characteristic data; According to the first driving behavior feature data and the second driving behavior feature data of the group to which the object to be predicted belongs, the driving risk of the object to be predicted is predicted. The invention also discloses a driving risk prediction system.

Description

technical field [0001] The invention relates to the field of Internet of Vehicles, in particular to a method and system for predicting driving risks. Background technique [0002] The Internet of Vehicles is a core technology development trend in the current automotive and transportation industries. Through the organic integration of wireless communication technology, satellite navigation system, network communication technology and on-board computer, the Internet of Vehicles allows real-time acquisition of the position and status data of running vehicles, and then analyzes and optimizes them. Drivers, passengers and management connect and communicate. [0003] Based on the above advantages, the Internet of Vehicles can support a very wide range of business scenarios: when a driving car breaks down, the service center can be connected to the service center through wireless communication, and the vehicle can be remotely diagnosed; the computer built in the engine can record ...

AI Technical Summary

Problems solved by technology

Using the existing technology, it is possible to identify the high-risk driving behavior of the driver, but this method only focuses on the road network data, which is a factor that affects the driver's driving risk. Therefore, the accuracy of the driving risk prediction results is insufficient.

Images