Smart city cloud street lamp system

Abstract

The invention discloses a smart city cloud street lamp system, comprising: a street lamp lighting device, a traffic signal lamp system, a real-time traffic information intelligence board, a personal mobile navigation terminal and a cloud network processing center; a microwave detector and a high-speed digital device are integrated on the street lamp lighting device processor, the high-speed digital processor calculates the vehicle speed and traffic flow information according to the information detected by the microwave detector, and transmits the vehicle speed and traffic flow information to the cloud network processing center; the personal mobile navigation terminal will carry the personal mobile navigation terminal. The target position of the vehicle, the preset driving route and the real-time vehicle speed information of the mobile navigation terminal are transmitted to the cloud network processing center; the cloud network processing center performs arithmetic processing on the information transmitted from the street lamp lighting device and the personal mobile navigation terminal and transmits it to the control Traffic light systems, real-time traffic information boards and personal mobile navigation terminals. The invention can actively induce vehicle diversion, and can automatically exchange the fastest route for the vehicle owner.

Description

technical field [0001] The invention relates to the technical field of urban vehicle diversion, in particular to a smart city cloud street lamp system with traffic guidance function. Background technique [0002] In modern society, people's material life is getting higher and higher, the transportation network is more and more developed, and there are more and more private cars, resulting in frequent road congestion. In order to eliminate traffic jams, the prior art has the following technical solutions. [0003] 1. Broadcast traffic conditions through radio stations, but the real-time and accuracy of the broadcast are usually poor, and the degree of congestion can only be described qualitatively in language, which has certain geographical limitations and cannot fully cover the entire urban area. traffic condition. [0004] 2. Monitor the traffic conditions through the camera surveillance command system, use the surveillance cameras installed on various roads and intersect...

AI Technical Summary

Problems solved by technology

However, considering factors such as layout costs, it is impossible for the system to cover some remote branch roads in urban areas

Moreover, although the analysis of traffic conditions through the screen is relatively accurate, it is still a relatively rough qualitative analysis and cannot achieve accurate quantitative analysis.

[0005] Street lights are very common equipment in road traffic. Although some people in the prior art have proposed to add traffic fl

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