Unmanned aerial vehicle scheduling method and system for processing high-speed traffic accidents and readable storage medium

Abstract

The invention relates to an unmanned aerial vehicle scheduling method and system for processing high-speed traffic accidents and a readable storage medium. The unmanned aerial vehicle scheduling method comprises the steps of collecting historical traffic data of a highway, establishing an accident model, obtaining vehicle parameter information, extracting feature vectors, and generating vehicle and lane position information; establishing an observation point location, generating a detection mode, generating an unmanned aerial vehicle formation according to the detection mode, and obtaining formation information; and generating scheduling information according to the formation information, performing position control on the unmanned aerial vehicle according to the scheduling information, and transmitting the control information to the terminal.

Description

technical field [0001] The present invention relates to a UAV scheduling method, in particular to a UAV scheduling method, system and readable storage medium for dealing with high-speed traffic accidents. Background technique [0002] As a negative externality product of urbanization overflow, traffic congestion has always been the focus of attention from all walks of life in the world. As an important part of the intelligent transportation system, intersection signal control and path guidance are being used more and more widely in the increasingly severe traffic environment. However, with the rapid development and improvement of hardware facilities, the problem of low intelligence of the traffic management system still exists. In the data, obtain hidden internal information, and make full use of information advantages to formulate scientific grooming strategies and other issues. Therefore, on the basis of massive traffic data, it is of great significance to carry out rese...

AI Technical Summary

Problems solved by technology

However, with the rapid development and improvement of hardware facilities, the problem of low intelligence of the traffic management system still exists. Obtain hidden internal information in the data, and make full use of information advantages to formulate scientific grooming strategies and other issues

Therefore, on the basis of massive traffic data, it is of great significance to carry out research on dynamic traffic flow information processing and congestion control and induction strategies for alleviating urban traffic congestion. In the process of traffic congestion, sudden traffic accidents are likely to occur. It involves some basic management areas, especially the on-site management has a certain lag, such as traffic jams, traffic accidents (it takes a certain amount of time to reach the scene and for example, in a two-way lane of a highway, whether it is a policeman or a policeman, it is very difficult. It is difficult to accurately determine the direction of traffic flow, which increases the difficulty of accident handling

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