Intelligent traffic system based on multi-source data fusion

Abstract

The invention provides an intelligent traffic system based on multi-source data fusion. A multi-source data collection module, a multi-source data fusion module and an urban traffic passage demand module are arranged, interaction and correlation change relationships between the urban traffic demands and multi-source data are fully considered, and as for the urban traffic passage demands obtained through the method, time consumption and collecting difficulty of traffic passage demand data collection are lowered while the precision and accuracy of traffic passage demand data are improved. By arranging parts such as external supporting plates, citizens autonomously utilize mobile phones to take photos of regulation-violating phenomena such as external long-time parking or blind occupation andrecord the regulation-violating phenomena, and mobile phone screens are aligned with auxiliary cameras to take photos for taking evidence, so that the traffic police department punishes the regulation-violating situations in blind areas of the cameras or the regulation-violating situations which cannot be found by policemen, the positivity that all the citizens maintain traffic public security iscalled, and drivers frequently violating regulations dare not to utilize experience-based judgment to park vehicles in a regulation-violation mode in the view blind areas of the cameras or road sections not frequently inspects by the policemen.

Description

Technical field [0001] The invention specifically relates to an intelligent transportation system based on multi-source data fusion. Background technique [0002] With the rapid development of society and economy today, the living standards of urban residents continue to improve, and motor vehicles have become an indispensable means of transportation for people. How to effectively manage motor vehicles, how to punish and reduce traffic violations, and how to quickly detect traffic accident escapes and motor vehicle theft and robbery cases has become an issue that local governments and traffic control departments are paying more and more attention to. In view of the above problems, currently mainly rely on surveillance cameras and traffic police to patrol the streets, but surveillance cameras will have blind spots in business, and the traffic police may not appear at the violation site immediately, so there is an urgent need for a multi-source based on the enthusiasm of all citize...

AI Technical Summary

Problems solved by technology

In view of the above problems, at present, it mainly relies on surveillance cameras and traffic police to patrol the streets. However, surveillance cameras will have blind spots in their careers, and traffic police may not appear at the scene of violations in the first place. Therefore, there is an urgent need for a multi-source system that can mobilize the enthusiasm of all citizens. data fusion intelligent transportation system to solve this problem

Images