Vehicle-road cooperative adaptive cruise control method and device

Abstract

The invention provides a vehicle-road cooperative adaptive cruise control method, which is used for a main vehicle for monitoring a remote vehicle in real time through a C-V2X technology in a road driving process; the method comprises the following steps: a main vehicle periodically receives V2I information sent by a preset road side unit around a driving road and V2V information sent by the remote vehicle, according to the received V2I information and V2V information, the collision risk between the main vehicle and the remote vehicle is detected; if no collision risk exists between the main vehicle and the remote vehicle, and after a main vehicle driver is determined to be in standard driving according to the driving concentration condition of the main vehicle driver, a main vehicle self-adaptive cruise system is started. According to the invention, real-time monitoring of the target vehicle is carried out on any road based on the C-V2X technology so as to reduce the collision risk, and the driving safety and the riding comfort can be improved.

Description

technical field [0001] The invention relates to the technical field of automobiles, in particular to a vehicle-road cooperative adaptive cruise control method and device. Background technique [0002] With the rapid development of the Internet of Vehicles technology C-V2X (Cellular Vehicle to Everything, wireless communication for vehicles), the ability of cars to perceive the outside world based on C-V2X technology is getting stronger and stronger. Compared with DSRC (Dedicated Short Range Communication, dedicated short-range communication) technology, C-V2X has the characteristics of high reliability, low delay, and better long-distance transmission accessibility. Therefore, the active safety of vehicles based on C-V2X is becoming more and more important. be valued. Compared with traditional vehicle environment perception solutions such as cameras and radars, C-V2X is less affected by environmental changes, and can still work stably in harsh environments such as line-of-s...

AI Technical Summary

Problems solved by technology

[0003] At present, adaptive cruise control mainly relies on radar and cameras to identify target vehicles. In bad weather or when driving on curved roads, it is easy to cause the loss of target vehicles, and the control algorithm involved requires accurate road curvature as input. , leading to great limitations in applicable scenarios, especially in scenarios such as turning and merging.

For example, when the vehicle in front is turning, it is easy to be misjudged by the system as the target disappearing, resulting in dangerous acceleration; Deceleration also reduces vehicle stability and ride comfort

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