基于平均速度估计的车辆类别组成识别算法Vehicle_Class_Composition_Identification_Based_Mean_Speed_Estimation_Algorithm.pdfVIP

Vehicle Class Composition Identification Based Mean Speed Estimation Algorithm Using Single Magnetic Sensor 1 DENG Xiaoyong , HU Zhongwei, ZHANG Peng, GUO Jifu (Beijing Transportation Research Center, Beijing 100055, China) Abstract: Magnetic vehicle detector is a rising traffic flow data collection technology in recent years. In the related research field, vehicle speed estimation based on single sensor is one of the hot spots. This paper introduced the magnetic vehicle detection technology. The distribution statistics of vehicle length on urban road network was then analyzed. Under certain reasonable assumptions, the vehicle class composition identification based mean speed estimation algorithm was put forward. In the algorithm, the OTSU method was used to classify vehicles into small vehicles and large vehicles. On urban road network small vehicles appeared mostly and the vehicle lengths distribution was centralized. According to the statistical characteristics, mean vehicle speed was calculated based on just small vehicles data in the algorithm. Finally, field experiment was conducted on road section in Beijing and the algorithm was verified on Matlab platform. It was concluded that, the algorithm was with high accuracy and stability. The accuracy of calculated mean vehicle speed exceeded 85%. Keywords: Intelligent Transportation Systems, Magnetic Sensor, Mean Vehicle Speed Estimation, OTSU method 1 Introduction Magnetic vehicle detector is based on magneto-resistive technology. Vehicles can be detected by the detectors through Wireless Sensor Network (WSN) placed on road surface, parking lots, etc. The new technology offers new solutions for real-time road traffic co