Microwave-based Intelligent Traffic Behavior Perception Method and System

Abstract

The invention provides a microwave-based intelligent traffic behavior perception method and system. The intelligent traffic behavior perception method includes: a traffic parameter setting step, a road traffic background learning step, a road background noise suppression step, a calculation step, a coordinate system establishment step, The vehicle type classification step, the tracking processing step, and the triggering alarm step. The beneficial effects of the present invention are: the present invention proposes a microwave (millimeter wave)-based system that can operate around the clock, has high precision, high reliability, large-area detection, high economic benefit and cost ratio, easy installation, and multi-dimensional A method and system for comprehensive traffic behavior analysis of various vehicles in the detection area. At the same time, background noise suppression is performed through a two-dimensional radar image method for some road barriers such as isolation belts or metal railings that will affect radar performance.

Description

technical field [0001] The invention relates to the technical field of intelligent transportation, in particular to a microwave-based intelligent transportation 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. Real-time access to traffic parameters such as traffic flow, vehicle speed, traffic density, and space-time occupancy on the road 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 directly affect the overall operation and control level of the...

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 economic benefit cost ratio is very low

[0020] The microwave detector using the microwave band (0.3G ~ 300GHz) mainly uses the Doppler principle to detect vehicles. By transmitting microwaves to a certain area, if there is a vehicle, because the vehicle shell is made of metal, the emitted electromagnetic waves will be on the metal. Scattering, a part of the energy will be reflected to the receiving antenna of the microwave vehicle detector, and the system will judge the presence of the vehicle based on the received information analysis. The advantage of this method is that the environment adaptability is better, but the existing microwave vehicle detector The shortcomings of the device are: the Doppler principle is used for target speed measurement, and stationary targets cannot be detected. If multiple targets appear in the detection area, multiple targets cannot be distinguished and detected, and the detection beam is too narrow (the horizontal launch angle is only to 10 degrees), it is impossible to detect targets in a large area, especially when applied to intersection conditions

Video detection technology has very high requirements for real-time image recognition, and the accuracy of vehicle detection and video in complex backgrounds is very low, for example, video detection at night and in relatively dark, severe haze, heavy rain, heavy snow and other bad weather Technology cannot detect, so this device cannot be tested 24 / 7

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