An anti-collision and early warning method for heavy-duty commercial vehicles with comprehensive consideration of front and rear obstacles

Abstract

The invention discloses an anti-collision early warning method for heavy-duty commercial vehicles with comprehensive consideration of front and rear obstacles. First of all, according to the road driving environment in China, a driving simulation platform is built to collect typical driving behaviors of excellent drivers under various driving conditions. Secondly, a reverse reinforcement learning algorithm based on maximum entropy is introduced to learn the driving behavior of excellent human drivers. Finally, the problem of anti-collision warning strategy is described as a Markov decision process, and an anti-collision driving decision-making model based on forward reinforcement learning is established to obtain an accurate, reliable and adaptable anti-collision warning strategy. The method proposed by the present invention comprehensively considers the impact of forward and backward obstacles on vehicle collisions, and provides drivers with accurate and quantified driving suggestions such as throttle opening and steering wheel angle control, and can adapt to different driving conditions and The driver's operation overcomes the problems of lack of accuracy and adaptability of existing anti-collision warning methods for heavy commercial vehicles.

Description

technical field [0001] The invention relates to a vehicle anti-collision early warning strategy, in particular to an anti-collision early warning method for heavy commercial vehicles that comprehensively considers front and rear obstacles, and belongs to the technical field of automobile safety. Background technique [0002] As the main undertaker of road transportation, the safety status of operating vehicles directly affects the safety of road transportation. Different from small passenger vehicles, passenger and freight transport vehicles are mostly large and medium-sized vehicles, which have the characteristics of high center of mass, large outline size and total mass, and the vehicle operation intensity is high, the running time is long, and the operating environment is complex. Once a traffic accident occurs during transportation, it will easily lead to serious consequences such as mass death and mass injury, cargo falling off, burning, explosion, etc., resulting in pr...

AI Technical Summary

Problems solved by technology

[0007] Purpose of the invention: Aiming at the lack of accuracy and adaptability of the anti-collision early warning method for heavy commercial vehicles, the present invention discloses an anti-collision early warning method for heavy commercial vehicles that comprehensively considers front and rear obstacles

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