基于多传感器信息融合技术的交叉路口车流检测  

Method for The Intersection Traffic Volume Detection Based on Multisensor Fusion Technique

作　　者：徐华中[1] 吴苏[1] 刘念[1] 

机构地区：[1]武汉理工大学自动化学院,湖北武汉430070

出　　处：《东华理工大学学报（自然科学版）》2008年第3期293-297,共5页Journal of East China University of Technology(Natural Science)

摘　　要：针对现代智能交通系统中道路交叉口间车流量信息的要求,提出了基于多传感器信息融合技术的交通量检测方法。将改进的BP神经网络算法应用于融合计算,结合实例进行MATLAB仿真,获得了满意的效果。仿真和分析表明,该算法具有精度高、收敛快、编程简单等特点。According to the demand of the traffic volume information in the field of the intelligent traffic system, the detected information is presented based on multisensor fusion technologies. An improved BP neural network algorithm is applied in data fusion. Satisfactory resuhs have been achieved by using MATLAB simulation on instance. Simulation and analysis shows that the algorithm can guarantee the high precision, fine constringenc/and easy programme.

关 键 词：信息融合 交通量检测 神经网络 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]