A safety judgment and processing method in the driving process of an intelligent network-connected automatic driving automobile

Abstract

The invention relates to a safety judgment and processing method in the driving process of an intelligent network-connected automatic driving automobile. The method comprises the following steps: acquiring the relative distance and relative speed of front and rear vehicles in real time through the intelligent network-connected automatic driving automobile, and extracting a traffic management speedand a safety distance of the road and the acceleration and deceleration performances of the vehicle; setting a multi-level safety discrimination index of the automatic driving automobile; further networking to obtain vehicle types, numbers of passengers, cargo carrying quantity, cargo unit prices and vehicle value information of surrounding vehicles when potential safety hazards exist in all surrounding vehicles on the premise that a safety processing method cannot avoid such dangers; selecting the collision kinetic energy loss as an index according to said information, calculating the severity of to-be-collided vehicles, selecting a vehicle with the lowest collision severity to collide, and selecting a vehicle with the lowest collision economic loss to collide if more than two vehicles with the lowest collision severity exist. According to the method, the safety judgment accuracy and reliability of the intelligent network-connected automatic driving automobile in the driving state are improved.

Description

technical field [0001] The invention relates to a method for judging and disposing of safety during driving of an automobile. In particular, it relates to a safety judgment and disposal method during the driving process of an intelligent network-linked self-driving car. Background technique [0002] The related technologies of intelligent networked vehicles have developed rapidly in recent years, and their core technologies are intelligent interconnection technology and automatic driving technology. ICV is an intelligent vehicle with wireless communication and Internet access functions. It can collect the status information and absolute position of the vehicle itself in real time, and obtain the driving information of adjacent vehicles and surrounding environment information. The vehicle or driver communicates driving instructions, and at the same time uses wireless communication technology to transmit driving intentions to surrounding vehicles. [0003] In the current sit...

AI Technical Summary

Problems solved by technology

[0003] In the current situation, vehicles driven by people often cannot grasp the surrounding road and vehicle information in time. In the actual driving process, especially under the conditions of heavy traffic flow, there are often bad driving behaviors such as too close to the car and frequent lane changes. In the face of emergencies, due to overreaction or slowness, wrong decisions are made, which lead to accidents and cause a lot of loss of life and property

[0004] Previous safety judgments were mostly based on the distance between adjacent vehicles or the time required for a proposed collision, without considering the acceleration or braking performance of the vehicle itself. Although it can replace accident data as a safety warning standard, it reduces the impact on the vehicle. The accuracy of safety accident prediction, too many safety reminders will cause information overload, which is not conducive to driving safety

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