文献类型：会议论文

英文题名：Research on Traffic Monitoring Network and its Traffic Flow Forecast and Congestion Control Model Based on Wireless Sensor Networks

作者：Xiao Laisheng[1];Peng Xiaohong[1];Wang Zhengxia[2];Xu Bing[1];Hong Pengzhi[3]

机构：[1]Guangdong Ocean Univ, Coll Informat Technol, Zhanjiang, Peoples R China;[2]Guangdong Ocean Univ, Coll Law, Zhanjiang, Peoples R China;[3]Guangdong Ocean Univ, Coll Food Sci & Technol, Zhanjiang, Peoples R China

会议论文集：International Conference on Measuring Technology and Mechatronics Automation

会议日期：APR 11-12, 2009

会议地点：Zhangjiajie, PEOPLES R CHINA

语种：英文

外文关键词：wireless sensor networks; traffic monitoring network; traffic forecast; traffic congestion control and real-time scheduling

外文摘要：In this paper, we have made a comprehensive study about the key technologies including applying wireless sensor networks to the traffic monitoring network, its traffic flow forecast based on gray forecasting model and traffic congestion control. According to the features that wireless sensor networks have no space constraints, flexible distribution, mobile convenience and quick reaction, we present a scheme that uses wireless sensor networks to monitor city transport vehicles and have designed a traffic monitoring system based on wireless sensor network that is applicable to all types of city environment. With the system, we can monitor the important roads that are easily blocked and find out the time changing law of traffic congestion, and then put the focus on monitoring them in order to greatly reduce the investment and achieve high efficiency. As far as the traffic flow forecasting methods concerned, we use Adaptive GM (1, 1) Model which have a real-time rolling forecast for city traffic and have a better forecast results. Because of the fewer study about the traffic congestion control in the current academia, we make a deep study about the traffic congestion control issues in this article. Learn from mature congestion control algorithm in computer network, we have designed an algorithm of traffic flow congestion control and scheduling for traffic network, which is called TRED. We have used it for real-time traffic scheduling and have opened up a new way to study and solve traffic congestion control problems.