Method and system for urban regional traffic resource regulation and control based on heat map change recognition

Abstract

This embodiment discloses a traffic resource control method based on traffic heat map identification. First, a big data analysis is performed on the traffic parameter data uploaded by the detection equipment arranged at the monitoring point of the urban road, and a traffic heat map of the corresponding traffic parameters is generated, and a traffic heat map containing the traffic parameters is obtained. The traffic heat map sequence of the traffic heat map, and then the image recognition of the traffic heat map is carried out through the neural network model, and then the recognition result of the current traffic heat map is compared with the recognition result of the previous traffic heat map in the traffic heat map sequence, and the traffic heat map is obtained. State change information, and finally dispatch traffic resources according to the traffic state change information. The method improves the rationality and referenceability of the finally generated resource allocation scheme, and makes the finally generated traffic resource scheduling scheme more reasonable and evidence-based, so as to better solve the problems of traffic congestion and low utilization rate of traffic resources.

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 matches the actual road conditions, and then perform high-accuracy image recognition on the heat map to obtain the current traffic status, especially the regional traffic status, and obtain the traffic status by comparing the traffic status at different times Changes in traffic status, in order to adaptively dispatch traffic resources, solve traffic congestion and waste of resources, and improve traffic resource utilization

Images