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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)
Department信息服务与智能控制技术研究室
Conference Name10th International Conference on Intelligent Computing, ICIC 2014
Conference DateAugust 3-6, 2014
Conference PlaceTaiyuan, China
Author of SourceIEEE Computational Intelligence Society; International Neural Network Society; National Science Foundation of China
Source PublicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Publication PlaceBerlin
2014
Pages351-362
Indexed ByEI ; CPCI(ISTP)
EI Accession number20143117998785
WOS IDWOS:000345518100042
Contribution Rank1
ISSN0302-9743
ISBN978-3-319-09329-1
KeywordBioinformatics Data Mining Image Processing Intelligent Computing Taxicabs Trajectories
AbstractThis 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.
Language英语
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/15042
Collection信息服务与智能控制技术研究室
Affiliation1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
2.University of Chinese Academy of Sciences, Beijing 100049, China
Recommended Citation
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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