Intelligent traffic behavior perception method and intelligent traffic behavior perception system based on microwaves

Abstract

The invention provides an intelligent traffic behavior perception method and an intelligent traffic behavior perception system based on microwaves. The intelligent traffic behavior perception method comprises the steps of traffic parameter setting, road traffic background learning, road background noise suppression, calculation, coordinate system establishment, vehicle classification, tracking processing and alarm triggering. The beneficial effects are that the method and the system provided by the invention are based on a microwave (millimeter wave) mode, can operate in an all-weather mode, have the advantages of high precision, high reliability, large area detection, high economic benefit cost ratio and simple and convenient installation, and can carry out comprehensive traffic behavior analysis on various types of vehicles in a detection area from multiple dimensions, and meanwhile, background noise suppression is carried out through a two-dimensional radar image method in allusion to a circumstance that the radar performance is affected by an isolation zone, a metal barrier or the like existing on the road.

Description

technical field [0001] The invention relates to the technical field of intelligent traffic, in particular to a microwave-based intelligent traffic behavior perception method and system. Background technique [0002] like figure 1 As shown, the intelligent transportation system can be divided into three modules from the functional modules. [0003] The traffic information collection unit occupies an important position in the intelligent transportation system and is the infrastructure for realizing the perception and management of intelligent traffic behavior. Traffic parameters such as traffic flow, vehicle speed, traffic density and space-time occupancy rate on the road are obtained in real time through different detection technologies, providing a basis for the monitoring center to analyze, judge, send information and optimize control schemes. The traffic information detector and its detection technology level directly affect the overall operation control level of the roa...

AI Technical Summary

Problems solved by technology

[0009] (2). The number of buses is much smaller than that of taxis. Due to the low sample ratio, it is difficult to guarantee the reliability and accuracy of detection by existing sample processing methods

[0014] This method has disadvantages: the on-site installation and construction are very cumbersome, the road needs to be closed during installation, and the road surface is seriously damaged. Single, the detection area is a section detection, the detection area is very narrow, and the economic benefit cost ratio is very low

[0016] This method has disadvantages: the on-site installation and construction are cumbersome, and the road needs to be closed during installation, which will cause damage to the road surface. Because the internal power supply is powered by a rechargeable battery, the service life is short, the detection parameters are single, and the detection area is a cross-sectional detection, which is very difficult. Small and small, very low cost-benefit ratio

The disadvantage is that the detection effect is very easy to be affected by the environment, and the ability to penetrate dust, clouds, raindrops and snowflakes is weak, and it is difficult to operate in harsh off-site environments. The detection area is a point area, and it needs to be installed vertically above each lane during installation , each detection device can only monitor one lane, less existing traffic infrastructure can be used, and the economi

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