| 基于信息融合技术的交通量检测算法研究 |
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| 引用本文： | 吴苏,李芳,朱善林.基于信息融合技术的交通量检测算法研究[J].仪表技术,2010(3):33-35,57. |
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| 作者姓名： | 吴苏 李芳 朱善林 |
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| 作者单位： | 海军工程大学,电子工程系,湖北,武汉,430033 |
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| 摘 要： | 针对智能交通系统中交通流数据采集及处理实时性和准确性的要求,设计了基于多传感器信息融合技术的交通量检测系统。首先构造了基于时间和空间特性的两级融合结构;然后分别设计了空间信息融合算法和时间信息融合算法,在分析融合算法特点及使用的基础上,对算法进行优化;最后对系统进行仿真实验。经过实验验证,该系统实时性强、准确性高,满足智能交通系统的需要。
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| 关 键 词： | 信息融合 车流检测 最小二乘法 神经网络 |
Study on Algorithm of Traffic Flow Detection Based on Information Fusion Technology |
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| WU Su,LI Fang,ZHU Shan-lin.Study on Algorithm of Traffic Flow Detection Based on Information Fusion Technology[J].Instrumentation Technology,2010(3):33-35,57. |
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| Authors: | WU Su LI Fang ZHU Shan-lin |
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| Affiliation: | ( Department of Electronic Engineering, Navy University of Engineering, Wuhan 430033, China) |
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| Abstract: | According to the demand of traffic data acquisition and real-time control in ITS, a traffic detection system based on the technology of multi-sensors information fusion is designed. Firstly, two fusion levels based on the characteristics of sapce and time are proposed. Then, the algorithms of spaticial information fusion and temporal information fusion are designed in detail. And the algorithm is optimized based on the characteristics and operation of the algorithm. The simulation demonstrates that the proposed fusion approach can not only save the training time greatly but also improve the accuracy of data processing. |
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| Keywords: | information fusion traffic flow detection algorithm of least square neural networks |
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