| 基于物联网的智能交通流探测技术研究 |
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| 引用本文： | 刘唐,彭舰,杨进,汪小芬. 基于物联网的智能交通流探测技术研究[J]. 计算机科学, 2011, 38(9): 67-70 |
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| 作者姓名： | 刘唐 彭舰 杨进 汪小芬 |
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| 作者单位： | (四川师范大学基础教学学院 成都 610068)；（北京邮电大学网络与交换技术国家重点实验室 北京 100876)；(四川大学计算机学院成都610065)3(乐山师范学院计算机学院 乐山 614000）；(电子科技大学计算机科学与工程学院 成都 610054) |
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| 基金项目： | 本文受国家自然科学基金项目(61003310)，网络与交换技术国家重点实验室开放项目(北京邮电大学)(SKLNSI}-2010-1-03)，四川省教育厅科研项目(lOGB005)资助 |
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| 摘 要： | 为更好地分析和统计动态交通流以获得道路交通信息，将物联网技术与智能交通系统相结合，提出一种基于物联网的智能交通探>A}}系统ITFDS(Intelligent Transportation Flow Detection System Based on Internet of Things).ITFDS通过车载传感器节点获取原始交通参数并进行初次融合，汇聚点作为信息收集、分发与数据二次融合的中心节点，物联网中心控制机房则负责系统数据的统计与管理。仿真实验证明，ITFDS能有效、即时地获得道路交通流量值并将其发送至各车辆，作为车辆选择行进线路的依据。
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| 关 键 词： | 智能交通，物联网，交通流量探测 |
Intelligent Transportation Flow Detection Technology Based on Internet of Things |
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| LIU Tang,PENG Jian,YANG Jin,WANG Xiao-fen. Intelligent Transportation Flow Detection Technology Based on Internet of Things[J]. Computer Science, 2011, 38(9): 67-70 |
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| Authors: | LIU Tang PENG Jian YANG Jin WANG Xiao-fen |
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| Affiliation: | (college of Fundamental Education, Sichuan formal University, (;hengdu 610068, China);(State key Laboratory of Networking and Switching'Iechnology,Beijing University of Posts and Telecommunications,Beijing 100876,China); (College of Computer Science,Sichuan University,Chengdu 610065,China); (Department of Computer Science,Leshan Normal University,Leshan 614000,China); (School of Computer Science and Engineering,University of Electronic Science and Technology of (;hina,Chengdu 610054,China) |
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| Abstract: | In order to better analyze dynamic transportation flow so as to gain road traffic information, this paper combined the Internet of Things technology and the intelligent transportation system and proposed a new intelligent transportation detection system-IhFDS(Intelligent Transportation Flow Detection System Based on Internet of Things).ITFDS obtains original traffic parameters and initial data fusion by vehicle sensor nodes. The sink is the central node for information gathering, distribution and secondary data fusion, and the center engine room is responsible for statistics and management. Simulation results show ITFDS can effectively and timely obtain the value of road transportation flow and send it to the vehicle,based on which travel routes can be selected. |
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| Keywords: | Intelligent transportation Internet of things Transportation flow detection |
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