Intelligent traffic information interaction system based on big data

Abstract

The invention discloses an intelligent traffic information interaction system based on big data, and the system can provide a real-time positioning service for intelligent traffic software in other platforms through a positioning function of the intelligent traffic software in the platform when one server has a fault, thereby ironing out the defect that the fault of the server in the platform causes the interruption of the positioning service, and achieving the positioning service self-help of the platform. Furthermore, the system can obtain the real-time positioning data of the intelligent traffic software in servers provided by other developers when a certain piece of intelligent traffic software cannot provide the real-time positioning services because a server provided by one developerhas a fault, thereby guaranteeing that the obtaining of the traffic information is not affected by the stability of a single software platform, and enabling the obtaining real-time performance and accuracy of the traffic information to be higher.

Description

technical field [0001] The invention relates to the technical fields of big data cloud computing and Internet of Vehicles, in particular to an intelligent traffic information interaction system based on big data. Background technique [0002] The rapid growth of car ownership has brought convenience to people in all aspects, and at the same time led to frequent urban road congestion. Road congestion has many negative effects. There are two main solutions, one is the traditional way of adding roads and controlling the increase in the number of vehicles, and the other is dredging. In the current situation, although ways such as expanding roads and controlling the increase in the number of vehicles can relieve traffic pressure, the use of land resources is limited after all, and this way cannot solve congestion from the perspective of sustainable development. In order to smooth the traffic, it is necessary to adopt advanced technology and continuously improve the existing r...

AI Technical Summary

Problems solved by technology

The existing traffic data collection and road condition estimation still have the following disadvantages: the road needs to add new basic hardware facilities, which are generally fixedly installed at the intersection of expressways, expressways and arterial roads to realize traffic monitoring of key nodes, but due to hardware The equipment is only partially covered, so that there is a "blind area" in the collection of traffic information, and it is impossible to monitor the road conditions of specific road sections in real time; floating vehicles must be equipped with special equipment, large-scale use, and the cost is too high. The collected information cannot cover all roads in the city; there is currently no unified method for real-time road condition estimation, and the estimation effect is not satisfactory

[0004] However, the above-mentioned method also has many defects. First, although the above-mentioned method can improve the accuracy of positioning, due to the use of a single technology platform, its positioning is greatly affected by the stability of the platform system. When the stability of the server of the platform is affected by When affected, there will still be the problem that the user cannot obtain accurate and real-time information on road conditions; secondly, the above method is a one-way information transmission method, and when the user end has an error output due to an emergency, the information feedback from the user end cannot be obtained in time, thus Affects user experience, therefore, it is necessary to propose an information feedback mechanism to improve the accuracy of information transmission

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