基于自适应Kalman滤波的交通流量监测算法  

Algorithm of Traffic Flow Monitoring Based on Adaptive Kalman Filtering

作　　者：王祺[1] 胡坚明[2] 慕春棣[1] 

机构地区：[1]清华大学自动化系,北京100084 [2]清华大学信息科学与技术国家实验室,北京100084

出　　处：《公路交通科技》2009年第7期121-126,共6页Journal of Highway and Transportation Research and Development

基　　金：高等学校博士学科点专项科研基金资助项目(20060003015);国家自然科学基金资助项目(50708054);国家重点基础研究发展计划(九七三计划)资助项目(2006CB705506);国家高技术发展研究计划(八六三计划)资助项目(2007AA11Z222;2006AA11Z208)

摘　　要：提出一种基于车载无线通信模块的交通流监测原型系统,该系统将行驶中载有无线通信模块的车辆视为移动检测节点,以很小的代价实现对交通信息的获取。在此基础上提出一个具体应用:利用基站对道路上载有通信模块车辆的检测,结合设计的基于结果反馈的自适应Kalman滤波算法,及时准确地完成对路段上交通流量的检测。此外,还基于元胞自动机理论搭建了仿真平台,并验证了算法的有效性。A prototype of traffic flow monitoring system based on vehicle wireless communication module was put forward. Each moving vehicle which was equipped with the wireless communication module in this system was regarded as a moving sensor to acquire traffic information with low cost. On this basis, one concrete application was proposed：a base station detects the vehicle with wireless communication module, and estimates the traffic volume through adaptive Kalman filtering based on the feedback of estimation result. A simulation platform based on cellular automaton was established and the effectiveness of the estimation algorithm was confirmed as well.

关 键 词：交通工程 交通流量估计 自适应Kalman滤波 车载无线通信模块 移动检测节点 元胞自动机 

分 类 号：U491[交通运输工程—交通运输规划与管理]