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Detection and estimation for the traffic flow based on Kalman filter | |
Cao, Jie1; Xu, Gui-Hua2; Hou, Liang3; Wang, Jin-Hua2; Zhang, Mo-Yi3 | |
2011-12-01 | |
发表期刊 | Journal of Beijing Institute of Technology (English Edition) |
ISSN | 10040579 |
卷号 | 20期号:SUPPL.1页码:271-275 |
摘要 | Integrated method of detection and estimation for the traffic flow based on Kalman filtering was proposed by introducing the new traffic detection technology-radio frequency identification devices(RFID). With the demands of traffic information collection in CVIS (cooperative vehicle infrastructure systems), the detection technique and data processing method become more and more important in the period of the internet of things (IOT). Compared with the traditional traffic information collecting technology, the RFID technology has many advantages such as: higher accuracy, lower interference and it can achieve the real-time traffic flow data collection reliably with lower cost. Based on the test data of Qingyang road in Lanzhou, the vehicle with RFID card was simulated by VISSIM(a microscopic traffic flow simulation system developed by PTV company in Germany) and the model is verified to conduct the traffic flow detection and estimate effectively. © Copyright. |
关键词 | Data handling Frequency estimation Kalman filters Radio frequency identification (RFID) Street traffic control Data processing methods Detection and estimation Radio frequency identification devices Traffic Engineering Traffic flow Traffic flow simulation Traffic information collections VISSIM |
收录类别 | EI |
语种 | 中文 |
出版者 | Beijing Institute of Technology |
EI入藏号 | 20115214650245 |
EI主题词 | Advanced traffic management systems |
EI分类号 | 406.1 Highway Systems - 406.2 Roads and Streets - 716.3 Radio Systems and Equipment - 723.2 Data Processing and Image Processing |
来源库 | Compendex |
分类代码 | 406.1 Highway Systems - 406.2 Roads and Streets - 716.3 Radio Systems and Equipment - 723.2 Data Processing and Image Processing |
文献类型 | 期刊论文 |
条目标识符 | https://ir.lut.edu.cn/handle/2XXMBERH/111577 |
专题 | 电气工程与信息工程学院 计算机与通信学院 |
作者单位 | 1.Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou 730050, China; 2.College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China; 3.School of Computer and Communication, Lanzhou University of Technology, Lanzhou 730050, China |
推荐引用方式 GB/T 7714 | Cao, Jie,Xu, Gui-Hua,Hou, Liang,et al. Detection and estimation for the traffic flow based on Kalman filter[J]. Journal of Beijing Institute of Technology (English Edition),2011,20(SUPPL.1):271-275. |
APA | Cao, Jie,Xu, Gui-Hua,Hou, Liang,Wang, Jin-Hua,&Zhang, Mo-Yi.(2011).Detection and estimation for the traffic flow based on Kalman filter.Journal of Beijing Institute of Technology (English Edition),20(SUPPL.1),271-275. |
MLA | Cao, Jie,et al."Detection and estimation for the traffic flow based on Kalman filter".Journal of Beijing Institute of Technology (English Edition) 20.SUPPL.1(2011):271-275. |
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