Video-Based Traffic Flow Parameters Monitoring and Integrated Traffic Information System

Abstract:

Road traffic flow parameters are the important basic information for traffic safety management, traffic condition evaluation and decision-making. This project designs a video-based traffic flow parameters monitoring terminal (ITS monitoring terminal), which is based on MENLOW embedded platform and expands its hardware and software resources. CCD cameras are used to capture image in video sequences in traffic environment. Image processing and analysis technologies are used to track vehicles and analyze the vehicle conditions in real time, and a vision measurement model which computes the traffic flow parameters, such as length, width, speed, distance between two vehicles, traffic flow density, and occupancy ratios, etc. is constructed. Furthermore, BP neural network is used to classify vehicles. ITS terminals interconnected with each other through public network or private network (optical ring network of transport agency, WLAN, Internet, and 3G) and connected with monitoring center of transport agency, which achieves dynamic data exchange and share among ITS terminals. It realized a wide-area distributed and integrated transport information system which synthesizes transport information guidance, traffic tracking; condition evaluation, decision-making, and real time transport information release.

• Periodical: Applied Mechanics and Materials (Volumes 462-463)
• Pages: 77-84
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.462-463.77
• Online since: November 2013
• Authors: Shu Kang Zheng, Min Li, Qi Zhu, Xiao Min Liu, Hao Dong Shen, Xue Wu Zhang, Zhuo Zhang, Xin Nan Fan
• Keywords: Image Analysis, Integrated Traffic Information Service, Monitoring Terminal, Traffic Flow Parameters, Vehicle Model Identification, Visual Perception

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