Thermodynamic diagram change identification-based urban area traffic resource regulation and control method and system

Abstract

The embodiments of the invention disclose a thermodynamic diagram change identification-based urban area traffic resource regulation and control method. The method includes the following steps that: big data analysis is carried out on traffic parameter data uploaded by detection devices arranged at urban road monitoring points, so that the traffic thermodynamic diagrams of corresponding traffic parameters are generated, and a traffic thermodynamic diagram sequence containing the traffic thermodynamic diagrams is generated; image recognition is performed on the traffic thermodynamic diagrams through a neural network model; current traffic thermodynamic diagram recognition results are compared with the recognition results of the previous traffic thermodynamic diagrams in the traffic thermodynamic diagram sequence, so that traffic state change information is obtained; and traffic resources are scheduled according to the traffic state change information. With the method adopted, the rationality and reference of a finally generated resource allocation scheme are improved, so that the finally generated traffic resource scheduling scheme is more reasonable and evidence-based, and the problems of traffic jam and low traffic resource utilization rate are better solved.

Description

technical field [0001] The present application relates to the technical field of traffic management, in particular to a method and system for controlling traffic resources in urban areas based on heat map change recognition. Background technique [0002] With the rapid development of economy and society, the problem of urban road congestion is becoming more and more serious, which not only increases people's travel time, increases commuting costs, but also causes large economic losses. [0003] On the surface, traffic congestion is caused by the contradiction between the city's existing road network resources and actual travel needs. The root cause is that the urban road network planning is unreasonable and the imbalance between the city's current development leads to an increase in road network load. , Traffic operation stability decreased. At present, the traffic situation can be alleviated by expanding roads and building subway light rails, etc., but these methods have a...

AI Technical Summary

Problems solved by technology

[0007] Based on this, in order to use the traffic monitoring data to judge the regional traffic state changes in the city, improve the accuracy and rationality of the resource allocation plan, and make the traffic monitoring data visualized, this application provides a traffic monitoring data transformation and comparison mechanism. First convert the traffic monitoring data into a visualized traffic heat map that match

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