Early warning method for logistics transportation vehicle

Abstract

The embodiment of the invention discloses an early warning method for a logistics transportation vehicle, which comprises the following steps of: evaluating each influence factor influencing the logistics transportation safety in the vehicle operation process by utilizing an expert scoring method, obtaining a judgment matrix of the influence factors, and calculating an absolute weight vector of each influence factor based on an analytic hierarchy process; obtaining a secondary influence factor danger level fuzzy evaluation matrix and a corresponding absolute weight vector according to the analysis of the real-time condition of each influence factor, and calculating to obtain a fuzzy membership vector; according to each fuzzy membership vector, generating early warning level information based on a maximum membership principle, wherein the influence factors comprise a first-level influence factor and a second-level influence factor, and the first-level influence factor is the driving behavior of the driver, the vehicle performance, the road condition, the environmental factor or the type of the transported object, wherein the second-level influence factors are sub-evaluation factorsof the first-level influence factors. Early warning level information can be accurately and timely provided for a driver, and logistics transportation safety is improved.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of logistics transportation management, in particular to an early warning method for logistics transportation vehicles. Background technique [0002] The rapid popularization of e-commerce applications is closely related to logistics and transportation technology. Road logistics transportation plays an irreplaceable role in short-distance and small-batch cargo transportation by virtue of its flexibility, adaptability, and many advantages such as door-to-door transportation. important role. [0003] However, in the process of logistics transportation, trucks are easily affected by various factors such as vehicle status, road condition level, weather conditions, items carried, and driver proficiency, which directly restrict the fuel economy of vehicles and the efficiency of cargo distribution. The road transportation system composed of roads, environment and goods carried may also ca...

AI Technical Summary

Problems solved by technology

However, this kind of early warning information is too single, and it is impossible to provide timely warnings for various situations, and cannot effectively serve as an early warning function in the logistics and transportation process.

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