The Automatic Vehicle Identification And Its Application Based On Magnetoresistive Effect

With the intelligent transportation development, the vehicle automatic detectiontechnology as the intelligent transportation system is more and more attention. In order toprovide base traffic data for optimize traffic management and the decision-making, in-depthstudy on automatic vehicle detection technology development of intelligent transportation issignificance. Considering the vehicle identification application status on the current domesticand international engineering applications, this paper tests methods for a more in-depthresearch and analysis detection equipment and application authentication based on low cost,low power consumption, easy to implement, the principle usage.This paper analyzes the domestic and foreign automatic vehicle identification technology,especially the development status, and uses the vehicle detection technology base on magnetoresistive effect. To solve the noise problem waveform, this paper uses three-axis digitalanisotropic magneto resistive sensor as a detector of the sensors, and use the average slipwaveform for processing and adaptive threshold filtering, and finally using the weightedEuclidean distance method to identify vehicle models. In order to achieve optimalmanagement of road traffic, according to the implementation process of the automatic vehiclerecognition algorithm, this paper designs a vehicle detection system based on wireless sensornetworks which provides a wide range of real-time vehicle data, and services the intelligenttraffic control system for the optimal. Finally, the vehicle detection system is applied to theactual road conditions testing, and process data analysis in the vehicle detection system, andthe overall performance is stable and reliable which is able to achieve the desired designeffect. Overall, automatic vehicle identification system designed by the paper is low cost, lowhardware requirements, and is easy to use the vehicle detection algorithm for MCU, and itwill be broad application prospects after in-depth improvement.