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《Acta Geodaetica et Cartographica Sinica》 2008-01
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Reducing Vehicle Tracking Data Volume through a Network-based Approach

LI Xiang , LIN Hui, GUO Zhong-yang ,ZHANG Xi-hui Ministry of Education Key Laboratory of Geographical Information Science, East China Normal University, Shanghai 200062, China; Institute of Space and Earth Information Science,The Chinese University of Hong Kong, Hong Kong, China; Dept of Management Information Systems, Univ of Memphis, Memphis, USA  
The extended availability of GPS makes it possible to keep track of vehicles'movement for various applications in transportation. An approach is proposed to reduce tracking data volume through representing these data with feature points. Feature points can represent tracking data with much less storage space and without a loss of major characteristics than sample points or raw tracking data. A combination of three criteria, i. e. network, velocity, and direction, is used to select feature points from sample points. Network criterion, a novel concept proposed by this paper, is defined as a change of the locational relationships between vehicles and the underlying road network. Experimental and analytical results demonstrate that the proposed approach outperforms existing ones.
【Fund】: 国家自然科学基金项目(40701142)
【CateGory Index】: U491
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