Multi-vehicle driving behavior analysis and danger early warning method and system

Abstract

The invention discloses a multi-vehicle driving behavior analysis and danger early warning method and system. The method includes the steps that firstly, a driving behavior state analysis device in avehicle obtains driver control and vehicle state feature information in a period of time through vehicle-mounted and in-vehicle sensor systems, inputs the feature information into a trained neural-network-based driving behavior model and determines the corresponding driving behavior class; a vehicle-mounted wireless transmission device transmits related vehicle information and driving behavior type information to a roadside multi-vehicle danger prediction device to calculate the danger probability, converts the danger probability into image and sound danger prompt information and sends the image and sound danger prompt information to related vehicles. By means of the multi-vehicle driving behavior analysis and danger prediction method and system, the driving conditions of multiple vehicleswhich may cause danger can be effectively monitored and mastered, the waste of resources is reduced, and the driving safety and danger prediction efficiency are improved.

Description

technical field [0001] The invention relates to the technical field of automotive electronics, in particular to a multi-vehicle driving behavior analysis and danger warning method and system. Background technique [0002] With the rapid development of wireless networks and multi-vehicle cooperative driving systems, the demand for various intelligent driving assistance systems and intelligent vehicle electronics is gradually increasing, and accidents such as fatigue driving and drunk driving not only seriously affect the driving safety of the vehicle but also affect other vehicles. safety. [0003] In the prior art, the risk assessment and prediction of driving behavior mainly obtains information from various sensors in the motor vehicle, monitors the status of the driver and the vehicle, and automatically issues warnings to remind the driver to ensure the driving safety of the motor vehicle. The monitoring system based on the above sensors has the advantages of real-time an...

AI Technical Summary

Problems solved by technology

However, the sensor-based monitoring method can only monitor one vehicle, and often cannot accurately quantify the level of danger

However, complex actual situations, such as drunk driving, fatigue driving, physical and psychological abnormalities of the driver, icy roads caused by snow and ice, and road destruction caused by earthquakes and other geological disasters, often lead to abnormal driving states of many vehicles. And the impact of vehicles in abnormal driving conditions will inevitably further affect other related vehicles in normal driving

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