A car-following auxiliary control system based on vehicle-vehicle coordination

Abstract

The invention discloses a following auxiliary control system based on inter-vehicle cooperation. The system is mainly composed of an inter-vehicle wireless local area network communication core system and a following auxiliary control core system. As for the inter-vehicle wireless local area network communication core system, motion state information of each vehicle is sent to the periphery in a packed mode mainly by means of wireless local area networks installed on various vehicles, and therefore surrounding vehicles can receive the motion state information of each vehicle. The following auxiliary control core system is composed of two control modules, one control module is used for searching vehicles needing to be followed for a rear vehicle, and the other control module is a following control module. By means of cooperative control of the two control modules, the system can complete searching of a target object needing to be followed and complete acceleration and deceleration actions needing to be adopted for auxiliary following actions, the purpose of safe following is achieved, and rear-end collision accidents are prevented.

Description

technical field [0001] The invention relates to a car-following auxiliary control system based on vehicle-vehicle coordination. The system is mainly based on vehicle-to-vehicle communication, by obtaining the motion state parameters of the own vehicle and the motion state parameters of the surrounding vehicles to determine the target object that needs to take the car-following behavior. If car-following behavior is required, the system will enter the car-following mode and control the vehicle so that it can follow the vehicle in front within a certain safe car-following distance and safety car-following margin. Background technique [0002] According to the statistics of the Traffic Management Bureau of the Ministry of Public Security, in 2010, 3,906,164 road traffic accidents were reported nationwide, a year-on-year increase of 35.9%. Among them, there were 219,521 road traffic accidents involving casualties, resulting in 65,225 deaths, 254,075 injuries, and direct propert...

AI Technical Summary

Problems solved by technology

The safety distance model is widely used in computer simulation, because in the research process, the calibration model can be calibrated with the general perceptual assumptions of driving behavior, but the model is only well used in simulation software, and it is complex in practice. It is difficult to match the maximum traffic volume and does not consider the psychological state of the driver

The fuzzy reasoning car-following model is a research result in recent years. It mainly uses the method of fuzzy reasoning to study the driver's car-following behavior. Its advantage is that it can use fuzzy sets to describe natural language rules that cannot be described by traditional mathematical methods and Predict the rear car reaction, but the determination of the model is difficult, and the accuracy and practical application value need to be verified slowly

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