An anti-rollover decision-making method for large-scale commercial vehicles considering road adhesion conditions

Abstract

The invention discloses an anti-rollover decision-making method for large-scale commercial vehicles considering road adhesion conditions. The present invention adopts a double-delay depth deterministic strategy gradient algorithm to establish an anti-rollover driving decision-making model, which specifically includes the following four sub-steps: sub-step 1: defining parameters of the anti-rollover decision-making model; sub-step 2: establishing an anti-rollover driving decision-making network ; Sub-step 3: Train the anti-rollover driving decision-making network; Sub-step 4: Use the anti-rollover driving decision-making model to output driving decisions. The method proposed by the invention can adapt to different road conditions such as dry, slippery, icy, etc., and provides the driver with precisely quantified anti-rollover driving strategies such as the throttle opening and steering wheel angle control amount, and overcomes the existing large-scale The anti-rollover driving method for commercial vehicles lacks adaptability and accuracy to road conditions.

Description

technical field [0001] The invention relates to a vehicle rollover prevention driving strategy, in particular to a large-scale commercial vehicle rollover prevention decision-making method considering road adhesion conditions, and belongs to the technical field of automobile safety. Background technique [0002] In recent years, with the explosive growth of car ownership, coupled with the complex road conditions and traffic conditions in our country, traffic accidents frequently occur, resulting in traffic interruptions, property losses and casualties. Relevant data released by the National Bureau of Statistics shows that the direct property loss caused by road traffic accidents in my country exceeds 1.3 billion yuan each year, and the indirect loss is about 1 trillion yuan. As the main bearer of road transportation, operating vehicles account for about 40% of the property losses caused by traffic accidents. Among all kinds of traffic safety accidents, the degree of harm an...

AI Technical Summary

Problems solved by technology

Existing decision-making methods are often more accurate under certain road conditions, but not accurate enough under other road conditions

[0005] In general, the existing anti-rollover driving decision-making methods for commercial vehicles are difficult to adapt to different road conditions, and there is still a lack of accurate, effective and adaptable large-scale commercial vehicle anti-rollover driving decision-making methods for different road conditions.

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