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Road network construction and hot routes inferring with vehicular trajectories
Wu JW(吴俊伟); Zhu YL(朱云龙); Chen HN(陈瀚宁)
作者部门信息服务与智能控制技术研究室
会议名称10th International Conference on Intelligent Computing, ICIC 2014
会议日期August 3-6, 2014
会议地点Taiyuan, China
会议主办者IEEE Computational Intelligence Society; International Neural Network Society; National Science Foundation of China
会议录名称Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
出版者Springer Verlag
出版地Berlin
2014
页码351-362
收录类别EI ; CPCI(ISTP)
EI收录号20143117998785
WOS记录号WOS:000345518100042
产权排序1
ISSN号0302-9743
ISBN号978-3-319-09329-1
关键词Bioinformatics Data Mining Image Processing Intelligent Computing Taxicabs Trajectories
摘要This work proposes a novel hot routes inferring approach without the support of real road network. Discovery of hot routes is important to the applications that requiring classifies the traffic flow or profiles the dynamic of the city, such as targeted advertising, traffic management and control. The advances of location-acquisition technologies have led to a huge collection of objects' trajectories in the road network, which give us the chances to finding hot routes conveniently. However, it is difficult to effectively detect hot routes without the support of the available road map. To address this issue, we first develop a Road Network Constructing Algorithm (RNCA) that extract road network from vehicular trajectories using image processing methods, and then propose a Hot Route Inferring Algorithm (HRRA) based on the extracted road network. Meanwhile, a novel road matching operation is also developed to match trajectory points onto roads. We have conducted extensive experiments on real dataset of taxi trajectories. Simulation results show that the proposed RNCA and HRRA are both effective and efficient. © 2014 Springer International Publishing Switzerland.
语种英语
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被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/15042
专题信息服务与智能控制技术研究室
作者单位1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.University of Chinese Academy of Sciences, Beijing 100049, China
推荐引用方式
GB/T 7714
Wu JW,Zhu YL,Chen HN. Road network construction and hot routes inferring with vehicular trajectories[C]//IEEE Computational Intelligence Society; International Neural Network Society; National Science Foundation of China. Berlin:Springer Verlag,2014:351-362.
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