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dc.contributor.authorLee, Wei-Hsunen_US
dc.contributor.authorTseng, Shian-Shyongen_US
dc.contributor.authorShieh, Wern-Yarngen_US
dc.date.accessioned2014-12-08T15:07:36Z-
dc.date.available2014-12-08T15:07:36Z-
dc.date.issued2010-01-02en_US
dc.identifier.issn0020-0255en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.ins.2009.09.004en_US
dc.identifier.urihttp://hdl.handle.net/11536/5985-
dc.description.abstractReal-time traffic information collection and data fusion is one of the most important tasks in the advanced traffic management system (ATMS), and sharing traffic information to users is an essential part of the advance traveler information system (ATIS) among the intelligent transportation systems (ITS). Traditionally, sensor-based schemes or probing-vehicle based schemes have been used for collecting traffic information, but the coverage, cost, and real-time issues have remained unsolved. In this paper, a wiki-like collaborative real-time traffic information collection, fusion and sharing framework is proposed, which includes user-centric traffic event reacting mechanism, and automatic agent-centric traffic information aggregating scheme. Smart traffic agents (STA) developed for various front-end devices have the location-aware two-way real-time traffic exchange capability, and built-in event-reporting mechanism to allow users to report the real-time traffic events around their locations. In addition to collecting traffic information, the framework also integrates heterogeneous external real-time traffic information data sources and internal historical traffic information database to predict real-time traffic status by knowledge base system technique. (C) 2009 Published by Elsevier Inc.en_US
dc.language.isoen_USen_US
dc.subjectCollective intelligenceen_US
dc.subjectTraffic status predictionen_US
dc.subjectSmart traffic agenten_US
dc.subjectIntelligent transportation system (ITS)en_US
dc.subjectKnowledge-based systemen_US
dc.titleCollaborative real-time traffic information generation and sharing framework for the intelligent transportation systemen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.ins.2009.09.004en_US
dc.identifier.journalINFORMATION SCIENCESen_US
dc.citation.volume180en_US
dc.citation.issue1en_US
dc.citation.spage62en_US
dc.citation.epage70en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000272108200005-
dc.citation.woscount18-
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