Traffic flow and vehicle speed collecting device and method based on infrared matrixes

Abstract

The invention discloses a traffic flow and vehicle speed collecting device and method based on infrared matrixes. The device comprises a telescopic support frame, an infrared ray collecting device, an infrared ray reflecting device, a field microcomputer and a control center, wherein the infrared ray collecting device is arranged on the telescopic support frame and is positioned above a lane to be measured; the infrared ray reflecting device is arranged on the lane; the infrared ray collecting device and the infrared ray reflecting device are arranged in a 3*n matrix form, and the n is the lane number; the infrared ray collecting device is connected with the field microcomputer; the field microcomputer is connected with the control center. The infrared ray collecting device and the infrared ray reflecting device are arranged in 3*n order matrixes; the comprehensive statistics on information such as traffic total flow, sub lane flow, number of various kinds of vehicles, vehicle running direction, vehicle speed and vehicle retention state is realized; the collected data is comprehensive; the accuracy is high.

Description

technical field [0001] The invention relates to a device and method for collecting traffic flow and vehicle speed based on an infrared matrix. Background technique [0002] At present, there are many methods for detecting traffic flow, such as: electromagnetic induction device method, acoustic detection system method, laser radar detection method and ultrasonic detection method of traffic flow information, etc. Because the speed and type of vehicles on the road are always changing, the traditional traffic statistics method has the characteristics of unstable reflection signal, large measurement error, or multiple functions but expensive cost, and low instrument scalability and versatility. The main disadvantage of the prior art is that the cost performance is not high. In order to obtain more abundant vehicle survey data, it is often at the cost of a relatively large construction cost, and the structure and principle are very complicated. Moreover, the powerful vehicle traf...

AI Technical Summary

Problems solved by technology

Because the speed and type of vehicles on the road are always changing, the traditional traffic statistics method has the characteristics of unstable reflection signal, large measurement error, or multiple functions but expensive cost, and low instrument scalability and versatility.

The main disadvantage of the existing technology is that the cost performance is not high. In order to obtain more abundant vehicle survey data, it is often at the cost of a larger cost, and the structure and principle are very complicated.

Moreover, the powerful vehicle traffic survey system, such as the survey system using magnetic induction technology, has poor reusability and poor scalability because its main survey terminals are all buried underground, and the construction excavation area is large. Long traffic impact cycle and low maintainability

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