Congestion level analysis platform based on double communication data

Abstract

The invention discloses a congestion level analysis platform based on double communication data, which belongs to the communication field. The congestion level analysis platform based on double communication data comprises a remote sensing data receiving device, a field data receiving device and a main control device, wherein the remote sensing data receiving device receives a road section remote sensing image of a target road section sent by a remote sensing satellite. The congestion level analysis platform based on double communication data is characterized in that the field data receiving device receives detection information sent by a radar probe in the target road section; moving track images of all vehicles in the target road section are drawn according to the detection information by the main control device; and the main control device determines the congestion level of the target road section according to the remote sensing image of the road section and the moving track images of all vehicles in the road section. In view of the technical problem that the precision of the detection result is not high by the single-factor road section congestion degree detection mode in the prior art, the satellite remote sensing image and the field radar detection are combined through a weighting mode, level judgment is carried out on the congestion degree of each target road section, and more valuable navigation data can be provided.

Description

technical field [0001] The invention relates to the communication field, in particular to a congestion level analysis platform based on dual communication data. Background technique [0002] Road congestion is one of the most important navigation data in navigation equipment. It helps people avoid road congestion and facilitates the traffic control department to allocate road resources. The data accuracy of the congestion situation determines the quality of the navigation equipment. [0003] At present, the detection of the congestion level of a certain road section generally relies on a single-factor detection model, such as satellite remote sensing images, on-site vehicle speed or on-site camera images, but single-factor detection is easily interfered by its own detection system, such as satellite remote sensing is easy The detection accuracy is not high due to the interference of atmospheric cloud thickness. [0004] Chinese patent ZL201510835142.4 discloses a congestio...

AI Technical Summary

Problems solved by technology

Its shortcoming is that the remote sensing image is seriously interfered by the thickness of the atmospheric cloud layer, and the error is relatively large based on the auxiliary judgment of the field image alone.

In addition, this method has a great influence on light factors, such as thick clouds on cloudy days, and when it is dark, it will cause misjudgment

[0005] Chinese patent CN201320162517.1 discloses a three-dimensional intelligent transportation system, which mainly solves the existing problem in the prior art that the following vehicles continue to travel to the congested road section due to the failure of timely traffic guidance after the occurrence of traffic congestion, resulting in aggravated congestion. The problem of increased congestion processing time

Its shortcomings are that the data collected by the GPS service system and the traffic flow collection system are single, the congestion cannot be controlled hierarchically, and the function is single

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