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http://dx.doi.org/10.3745/KIPSTD.2004.11D.5.1167

Implementation of Uncertainty Processor for Tracking Vehicle Trajectory  

Kim, Jin-Suk (한국전자통신연구원 우정기술연구센터)
Kim, Dong-Ho (한국전자통신연구원 우정기술연구센터)
Ryu, Keun-Ho (충북대학교 전기전자컴퓨터공학부)
Abstract
Along the advent of Internet technology, the computing environment has been considerably changed in many application domains. Especially, a lot of researches for e-Logistics have been done for the last 3 years. The e-Logistics means the virtual business activity and service architecture among the logistics companies based on the Internet technology. To construct effectively the e-Logistics framework, researches on the development of the Moving Object Technology(MOT) including GPS and GIS with spatiotemporal databases technique so far has been done The Moving Object Technology stands for the efficient management for the spatiotemporal objects such as vehicles, airplanes, and vessels which change continuously their spatial location along with time flows. However, most systems manage just only the location information detected lately by many reasons so that the uncertainty processing for the past and future location of the moving objects is still very hard. In this paper, we propose the moving object uncertainty model and system design for e-Logistics applications. The MOMS architecture in e-Logistics is suggested and the detailed explain of sub-systems including the uncertainty processor of moving objects is described. We also explain the comprehensive examples of MOMS and uncertainty processing in Delivery Parcel Application that is one of major application of e-Logistics domain.
Keywords
Moving Object; Uncertainty Processing; e-Logistics; Vehicle Tracking;
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Times Cited By KSCI : 1  (Citation Analysis)
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