Early warning method and early warning system for vehicle abnormal aggregation

Abstract

The invention discloses an early warning method and an early warning system for vehicle abnormal aggregation. Early warning regions are set in a GIS platform, and the set early warning regions are transmitted to GPS equipment of a vehicle; the GPS equipment judges whether to enter the early warning regions through acquiring longitude and latitude information of the vehicle, and transmits the current longitude and latitude information of the vehicle to a GIS platform after entering the early warning regions; and the GIS platform looks up the corresponding early warning region according to the current longitude and latitude information of the vehicle, adds the vehicle to vehicle information of the corresponding early warning region, and performs statistical analysis on the vehicle information of the early warning regions to generate corresponding early warning level. The early warning method and the early warning system have high universality, can send out early warning for vehicle abnormal aggregation situations caused by various reasons, and have low false warning rate and higher accuracy.

Description

technical field [0001] The invention relates to the technical field of traffic information, in particular to an early warning method for abnormal vehicle aggregation and a system applying the method. Background technique [0002] With the progress of society and the rapid development of the economy, people's living standards are improving day by day, and the process of industrialization and urbanization has accelerated to promote the arrival of the automobile era. Conflicts are becoming increasingly acute. In particular, while the level of urbanization is rapidly improving and the urban road service facilities are greatly improved, the number of vehicles increases sharply, traffic congestion increases, traffic accidents occur frequently, the quality of life and satisfaction of urban residents decline, the sustainable development of cities is constrained, and traffic problems become more and more serious. It has become a hot issue in society, and it is urgent to study it sys...

AI Technical Summary

Problems solved by technology

At the same time, road traffic accidents caused by obstacles on the road caused by abnormal road traffic conditions, such as congestion and accidents, have also become a major problem affecting traffic safety.

[0003] The detection and early warning of traffic conditions in the prior art are mainly through the video surveillance system or the GPS navigation system: 1. Although the existing GPS navigation system can receive the data parameters sent by the satellite 24 hours a day, and then obtain the receiving location The location, direction, speed and time information of the vehicle, and then estimate the driving speed of the moving vehicle. It mainly judges whether there is congestion based on the driving speed, but it cannot detect temporary traffic control, flooded and buried roads, accidents and other congestion. Abnormal road conditions; 2. At present, the video monitoring method is used most at home and abroad to judge urban road traffic congestion, but due to the use of video to extract the distance and running speed of vehicles, there are certain errors and delays, and the video image resolution process requires high-performance computers. Need to spend a lot of engineering cost

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