5G-based vehicle dispersion method and system

Abstract

The embodiment of the invention discloses a 5G-based vehicle dispersion method and system. The method comprises the steps: collecting a road image of each road segment, carrying out the recognition, and determining an accident road segment; determining other road segments connected with the accident road segment through the road intersection, and taking the accident road segment and the other road segment as road segments to be detected; continuously collecting road images of each road segment to be detecte in a preset time period, and judging whether each road segment to be detecte is subjected to vehicle congestion or not; taking the accident road segment with congestion as an unchangeable line road segment, and taking other road segments with vehicle congestion as variable line segments; calling road information in a first preset range of the variable line segment, and making a congestion vehicle line changing scheme based on the road information; numbering the congested vehicles of the unchangeable road segment; and sending a retreat instruction to the 5G vehicle-mounted equipment based on the serial number, wherein the retreat instruction is used for guiding the driver to sequentially withdraw from the unchangeable line segment according to the serial number. The technical problem that congested vehicles are difficult to be quickly and effectively dredged when a traffic accident occurs is solved.

Description

technical field [0001] This application relates to the field of intelligent transportation technology, in particular to a 5G-based vehicle guidance method and system. Background technique [0002] At present, as family cars become more and more popular, urban and rural construction efforts are increasing, and road traffic hazards are also increasing. In densely populated cities, especially on holidays, if a traffic accident occurs on a certain road section, it is easy to cause traffic congestion, and in severe cases, it can even be blocked for more than one day, seriously affecting the quality of people's travel. Moreover, densely congested vehicles will also block the entry of rescue vehicles, delaying valuable rescue time. [0003] At present, after a traffic accident, it is still necessary to rely on the traffic police and other manpower to maintain order, guide vehicles to make way for rescue vehicles, and then use the navigation software to display that a traffic accid...

AI Technical Summary

Problems solved by technology

However, it is too inefficient to use manpower to unblock congested vehicles, and it is difficult for vehicles that have already congested to exit the current road section in an orderly manner and choose other routes to continue driving

It still has a great impact on the rescue work at the scene of traffic accidents, and the ability to guide the vehicles that are already congested in this road section is also weak, which may easily cause driver dissatisfaction or emotional agitation

Therefore, the method of this artificial guidance is too inefficient for the handling of traffic accidents.

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