Unmanned aerial vehicle for traffic guidance, and application of unmanned aerial vehicle

Abstract

The invention relates to an unmanned aerial vehicle for traffic guidance and an application of the unmanned aerial vehicle. The unmanned aerial vehicle comprises a vehicle body, and the unmanned aerial vehicle further comprises a main camera group, an LED display screen and a loudspeaker, wherein the main camera group is arranged on the vehicle body and is used for collecting traffic condition data; the LED display screen is arranged in a belly position of the vehicle body, and is used for displaying traffic guidance commands obtained based on the traffic condition data; and the loudspeaker is arranged in the belly position of the vehicle body, and is used for broadcasting the traffic guidance commands obtained based on the traffic condition data. Compared with the prior art, the unmanned aerial vehicle disclosed by the invention has the advantages of being not subject to road conditions, and being flexible, accurate and rapid; the unmanned aerial vehicle can shoot pictures over an accident point, so that a full coverage of law enforcement is achieved, professionals can quickly determine a core accident point, shot pictures and shot videos can be delivered to the professionals at the first time, and in-time handling of traffic accidents can be guaranteed.

Description

technical field [0001] The invention relates to a traffic command technology, in particular to an unmanned aerial vehicle for traffic command and its application. Background technique [0002] my country's economy has developed rapidly in recent years, vehicles have increased sharply, and urban traffic congestion has become increasingly severe. Especially during the holidays, a large number of people flow leads to road congestion and frequent traffic accidents; weather factors aggravate the incidence of traffic accidents and the difficulty of handling, foggy weather, the visibility range is small; rainy and snowy weather, ice, snow and rain on the road make it easy for vehicles Slipping, the above factors are likely to cause traffic accidents. Traffic accidents may have multiple core accident points, resulting in many stranded vehicles, which brings great difficulties to traffic command work. Congestion causes law enforcement vehicles to fail to enter the accident point in t...

AI Technical Summary

Problems solved by technology

Especially during the holidays, a large number of people flow leads to road congestion and frequent traffic accidents; weather factors aggravate the incidence of traffic accidents and the difficulty of handling, foggy weather, the visibility range is small; rainy and snowy weather, ice, snow and rain on the road make it easy for vehicles Slipping, the above factors are likely to cause traffic accidents. Traffic accidents may have multiple core accident points, resulting in many stranded vehicles, which brings great difficulties to traffic command work. Congestion causes law enforcement vehicles to fail to enter the accident point in time for on-site command work, and command efficiency Low, the current command of traffic jams has the following problems:

[0003] 1) The existing technology has limitations in supporting whether there are many cars, where there are many cars, and which link causes more cars;

[0004] 2) The scientific deployment of law enforcement vehicles and personnel is subject to incomplete information;

[0005] 3) Law enforcement vehicles and personnel guidance are subject to road conditions, so it is difficult to achieve flexible, accurate and fast coverage;

Due to the lack of effective command, the traffic was paralyzed for a long time;

[0007] 5) When the traffic jam interval is long, single or multiple core accident points and congestion points cannot be carried out at the same time, and law enforcement vehicles cannot be dispatched to the core accident point for command as soon as possible, resulting in long command time and low efficiency;

[0008] 6) Law enforcement vehicles are limited by the congestion on the ground, and the space for law enforcement personnel to take pictures and collect evidence at the scene is small, and the photos taken cannot be conveyed to relevant personnel immediately, resulting in time delays

Moreover, the equipment photographed by law enforcement officers is vulnerable to damage in congested and chaotic environments

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