Traffic capacity prediction method and device, equipment and storage medium

Abstract

The invention discloses a traffic capacity prediction method and device, equipment and a storage medium. The method comprises the following steps: extracting a transportation starting point and an end point of a freight vehicle according to track data of the freight vehicle; matching points of interest in a to-be-detected area with the transportation starting point and the transportation ending point to obtain the number of historical freight vehicles corresponding to each point of interest in the to-be-detected area; screening out a plurality of hot interest points according to the historical freight vehicle number corresponding to each interest point; and inputting the historical freight vehicle number corresponding to the plurality of hot interest points into a pre-trained traffic capacity prediction model to obtain a freight vehicle number prediction result corresponding to the hot interest points. According to the method, the historical number of freight vehicles of the point of interest is obtained by analyzing the historical parking data of the vehicles, and the transport capacity prediction result of the point of interest in a certain period of time in the future is obtained according to the historical number of freight vehicles and the pre-trained neural network model, so that the avoidance of logistics enterprises or individual vehicle owners to transport risks is facilitated; the no-load probability of the vehicle is reduced.

Description

technical field [0001] The invention relates to the technical field of logistics transportation, in particular to a method, device, equipment and storage medium for predicting transportation capacity. Background technique [0002] With the rise of the e-commerce industry, the improvement of road infrastructure and the rapid development of international trade, road freight is becoming more and more important in the entire freight logistics system. However, at present, the efficiency of road transportation in my country is low, the transportation cost remains high, and the profit margins of car owners and logistics companies are declining year by year. The main reason for these unfavorable situations is the excess capacity of the freight market. After the trucks are loaded from the origin to the destination, they often return empty due to insufficient supply of goods at the destination and small market size. The empty driving rate of trucks in our country is above 40%, and th...

AI Technical Summary

Problems solved by technology

However, in some remote or small areas, due to the low demand and small market size, they cannot attract large trucks and logistics companies, resulting in a shortage of some products all year round, and the local specialty products cannot be transported out. The growth rate of GDP is slow, and no one cares about specialty products. And other issues

The main reason for the above is that the supply and demand relationship between goods and vehicles between regions does not match, and logistics companies between regions cannot accurately estimate the transportation capacity between the two regions, resulting in a large number of trucks returning empty or unable to transport with full load due to competition. This leads to the problem of overcapacity or undercapacity.

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