Unmanned aerial vehicle-based intelligent traffic management and control system

Abstract

The invention discloses an unmanned aerial vehicle-based intelligent traffic management and control system. The system comprises a control system, a traffic signal lamp, an unmanned aerial vehicle with a loudspeaker, a camera and a plurality of LED display screens, and a traffic flow detector. On one hand, the control system is electrically connected with the traffic signal lamp and the traffic flow detector. On the other hand, the control system is in wireless communication with the unmanned aerial vehicle through a wireless communication module. The control system is connected with a timing module. According to the invention, based on the fact that the unmanned aerial vehicle has the characteristics of being high in flexibility, flying without obstacles, looking down from a height and strong in cruising ability, the switching time of the intersection traffic signal lamp can be controlled according to the actual traffic flow condition. Therefore, the purpose of effectively controlling the vehicle traffic is achieved. Meanwhile, follow-up vehicles can make the preparation for slow speed and bypass in advance, so that the driving safety is guaranteed. The situation that the congestion is further intensified is avoided. Moreover, the switching time of the traffic signal lamp can be flexibly and flexibly controlled according to different time periods.

Description

technical field [0001] The invention relates to the field of smart cities, in particular to an intelligent traffic management and control system based on drones. Background technique [0002] With the great development of economy and society, a large number of people gather in the city, and vehicles have become an indispensable means of travel for many families. These will inevitably bring about many traffic problems. In some prosperous commercial areas, there are many people and vehicles. It is easy to have traffic jams, especially at intersections during morning and evening rush hour, and this situation is more serious. Although there are traffic police, auxiliary police, traffic administrators, and volunteers on duty in all weathers, and some urban management departments have also introduced some related measures such as limiting number of travel, but the above situation still cannot be effectively improved, causing great harm. Travel stress. [0003] The reason is that...

AI Technical Summary

Problems solved by technology

Although there are traffic police, auxiliary police, traffic administrators, and volunteers on duty in all weathers, and some urban management departments have also introduced some related measures such as limiting number of travel, but the above situation still cannot be effectively improved, causing great harm. travel pressure

[0003] The reason is that in addition to the large number of vehicles, the changing time of the traffic lights at these intersections that are prone to congestion is basically fixed, that is, whether it is in the morning and evening peak hours or in other time periods, the changing time of the traffic lights is basically fixed. It is fixed and requires human intervention by traffic police, co-police and traffic administrators, and drivers cannot know the congestion situation at the next intersection. They can only learn relevant information through platforms with large information delays such as radio stations, which has great limitations.

[0004] In addition, the psychological and emotional changes of the drivers caused by the heavy traffic flow can easily lead to collisions, rear-end collisions and other accidents, which will further aggravate the congestion situation.

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