A Highly Adaptable Bicycle Lane Intelligent Gate System

Abstract

The invention discloses a high-adaptability intelligent gate system for bicycle special lanes, which includes identification devices arranged on both sides of the lane and special gates arranged along the driving direction of the identification device, wherein the identification device is used to collect side view images of wheels of passing vehicles And measure the distance between the identification device and the wheel, obtain the wheel radius R and tire width B based on the graph and distance, and calculate the relationship function value i={B, R} between the tire width B and the wheel radius R, by comparing i with the first threshold The size of the vehicle is judged by whether the vehicle is a bicycle, and the judgment result is sent to the special gate; the special gate receives and controls the special gate to open or close based on the judgment result. Compared with similar products, the intelligent gate system of the present invention does not need to reserve equipment installation holes and bottom space on the ground in advance, especially if the special bicycle lane adopts a box beam and other structures, it will not cause damage to the elevated road body structure. At the same time, it is more suitable for bicycle lanes with different structural forms.

Description

technical field [0001] The invention relates to the field of road traffic. More specifically, it relates to a highly adaptable intelligent gate system for bicycle lanes. Background technique [0002] With the development of economy and society, the number of urban population and cars is increasing day by day, but the load capacity of public transportation cannot meet the needs of people's travel. Urban traffic congestion has become the primary problem restricting the further development of cities. Bicycle travel is more and more the first choice of some citizens because of its environmental protection, convenience and speed, which helps to solve the problem of urban traffic congestion, and is also good for health, especially for short-distance travel. However, because bicycle lanes are easily occupied by cars parked at will and the rapid development of electric vehicles, the actual use of bicycles is greatly reduced, and special bicycle lanes need to be planned. [0003] A...

AI Technical Summary

Problems solved by technology

[0006] (2) Video surveillance identification generally requires manual identification, which brings a sharp rise in cost for large-scale use of equipment, and video surveillance itself has a lag, which is not conducive to on-site control and may cause management confusion

However, the permanent magnet motor of an electric vehicle needs to use a sensitive Gauss meter for magnetic field detection, and the magnetic field of the permanent magnet used in an electric vehicle has a large attenuation with distance, so direct non-contact measurement without affecting traffic may use Less than a valid reading will affect the judgment

At the same time, this method cannot independently detect motorcycles and other internal combustion locomotives

[0009] (5) Exhaust gas detection can be carried out by means of laser analysis of tail gas clusters, etc. As a relatively mature technical means, motor vehicles can be identified, but electric vehicles and bicycles cannot be distinguished

[0010] To sum up, at the present stage or in the foreseeable long period of time, for the proposed bicycle lanes, designing a smart bicycle identification gate that can pass quickly is crucial to ensure that bicycles can travel on the dedicated lanes. It is important, and it is also an effective solution to whether the bicycle lane can achieve its maximum design intent. However, none of the existing technical approaches can achieve this function alone, and even the superposition of several technologies cannot solve it smoothly. Therefore, it is necessary to focus on this application. Scenario design a comprehensive solution

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