Highway vehicle overrun detection method and system based on multi-source information judgment and storage medium

Abstract

The invention discloses a highway vehicle overrun detection method and system based on multi-source information judgment and a storage medium, and the method comprises the steps of judging whether a vehicle overruns or not for the first time, and judging whether the vehicle overruns or not for the second time, calculating the weight value Q and the matching degree between the exit stations according to the similarity between the feature information ZC of the current exit station of the vehicle and the exit station passing record RC of the historical passing information, and combining the historical passing information RV of the vehicle and the current overrun information Vmax of the vehicle. According to the present invention, on the basis of data sampling, a big data analysis correction algorithm is introduced, through a feedback repair mechanism, an overrun system itself has an intelligent processing and judgment function, and especially along with the long-term application of big data, the accuracy is higher and higher and is close to the most real actual use level.

Description

technical field [0001] The invention relates to the technical field of overrun vehicle control on road adjustment, in particular to a method, system and storage medium for overrun detection of expressway vehicles based on multi-source information judgment. Background technique [0002] With the implementation of a large number of China's infrastructure projects, expressways have become important transportation channels, and a large number of freight vehicles run on them. Truck drivers often want to increase the income of a single transportation out of economic interests, so they transport more goods, but no matter from the perspective of safe driving or road maintenance, the behavior of overloading vehicles is not allowed, including Extra heavy, extra tall, extra wide, extra long, etc. Traditional detection methods can only detect vehicle over-limit behavior in relatively simple cases, while missed detection and false detection occur from time to time. At the same time, in ...

AI Technical Summary

Problems solved by technology

Traditional detection methods can only detect vehicle over-limit behavior in relatively simple cases, while missed detection and false detection occur from time to time. At the same time, in order to improve the detection accuracy, complex detection equipment is often required, making the detection equipment expensive

Huge costs are often invested, and satisfactory detection results cannot be obtained. At the same time, huge investments also waste national resources

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