Intelligent traffic navigation system based on 5g communication network

Abstract

The invention discloses an intelligent traffic navigation system based on a 5G communication network. The system comprises an acquisition camera which is disposed at the roadside of a road or at a position of an intersection; a cloud server which is connected with the acquisition camera through a 5G communication network and is used for receiving a vehicle video output by the acquisition camera inreal time, identifying and analyzing a road video, identifying whether the road is in a congestion state or not, further analyzing the congestion reason after the road is determined to be in a congestion state, and outputting the congestion reason; and a vehicle-mounted terminal which is connected with the cloud server through a 5G communication network, receives a detour route and the congestionreason from the cloud server in real time, and is internally provided with a display screen and a voice module for displaying and broadcasting the detour route. According to the intelligent traffic navigation system based on a 5G communication network, through the arrangement of the acquisition camera, the cloud server and the vehicle-mounted terminal, the road condition can be detected in real time and a detour route can be recommended.

Description

technical field [0001] The present invention relates to a navigation system, more specifically to an intelligent traffic navigation system based on a 5G communication network. Background technique [0002] With the gradual increase of domestic car ownership, the traffic pressure on domestic urban roads is also increasing, especially the traffic on main roads in cities, which is very prone to congestion problems, which greatly affects people's travel. [0003] Thereby existing map navigation system all can have the function that the congestion situation of road is detected, and then mark out on the map in the process of user's use, to let the user know, and then select less congested route, but currently existing The current map navigation system collects data on congestion mainly through user reports, roadside monitoring cameras, and vehicle driving conditions. By integrating the above data, the corresponding road congestion is obtained. Only after corresponding calculation...

AI Technical Summary

Problems solved by technology

[0003] Thereby existing map navigation system all can have the function that the congestion situation of road is detected, and then mark out on the map in the process of user's use, to let the user know, and then select less congested route, but currently existing The current map navigation system collects data on congestion mainly through user reports, roadside monitoring cameras, and vehicle driving conditions. By integrating the above data, the corresponding road congestion is obtained. Only after corresponding calculation and analysis of the data can we know the road congestion situation, so there will be a problem of poor real-time update of road conditions, resulting in various road congestion situations, which are caused by various factors such as more vehicles, accidents, and construction It will cause road congestion, and the congestion time caused by road congestion caused by different reasons is also different. For example, the time of road congestion caused by accidents and construction is much longer than that caused by more vehicles, and sometimes When the congestion time is not long, it takes less time not to detour than to detour, and the existing road condition detection method cannot effectively detect the above factors, so it is not smart enough

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