| 信息融合技术及其在智能交通领域中的应用 |
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| 引用本文： | 付建胜,祖晖,谯志,王少飞.信息融合技术及其在智能交通领域中的应用[J].公路交通技术,2014(3):120-125. |
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| 作者姓名： | 付建胜 祖晖 谯志 王少飞 |
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| 作者单位： | 招商局重庆交通科研设计院有限公司,重庆400067 |
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| 基金项目： | 科技部科研院所开发项目（2013EG124043）;重庆市自然科学基金项目（CSTC2011jjys0002）;重庆市应用开发（重大）计划项目（estc2013yykfc30001） |
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| 摘 要： | 对信息融合技术及其在智能交通中的应用进行系统性概述。对常用的信息融合技术进行总结，归纳出5类信息融合技术，即神经网络类、Bayes融合类、推理融合类、空间融合类、自适应滤波类等。依据5种不同的交通应用场景，即信息检测与采集、交通流分析、分类识别、诱导控制和定位导航，对信息融合技术在智能交通中的应用进行文献综述，并指出随着交通应用场景的不同，融合技巧和算法也会随之不同。
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| 关 键 词： | 信息融合 智能交通 神经网络 空间融合 |
Application of Information Fusion Technologies in Intelligent Traffic Field |
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| FU Jiansheng,ZU Hui,QIAO Zhi,WANG Shaofei.Application of Information Fusion Technologies in Intelligent Traffic Field[J].Technology of Highway and Transport,2014(3):120-125. |
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| Authors: | FU Jiansheng ZU Hui QIAO Zhi WANG Shaofei |
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| Institution: | FU Jiansheng, ZU Hui, QIAO Zhi, WANG Shaofei |
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| Abstract: | This paper systematically outlines the application of information fusion technologies in intelligent traffic, and summarizes common information fusion technologies to conclude 5 categories of information fusion technologies, i.e. neural network, Bayes fusion, reasoning fusion, spatial fusion and self-adaptive filter. Based on 5 different traffic application scenarios, i. e. information detection and acquisition, analysis of traffic flow, classification and recognition, induction control and location and navigation, the paper conducts literature summary of the application of information fusion technologies in intelligent traffic, and points out that fusion skills and algorithms vary with different traffic application scenarios. |
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| Keywords: | information fusion intelligent traffic neural network spatial fusion |
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