標題: Collaborative real-time traffic information generation and sharing framework for the intelligent transportation system
作者: Lee, Wei-Hsun
Tseng, Shian-Shyong
Shieh, Wern-Yarng
資訊工程學系
Department of Computer Science
關鍵字: Collective intelligence;Traffic status prediction;Smart traffic agent;Intelligent transportation system (ITS);Knowledge-based system
公開日期: 2-一月-2010
摘要: Real-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.
URI: http://dx.doi.org/10.1016/j.ins.2009.09.004
http://hdl.handle.net/11536/5985
ISSN: 0020-0255
DOI: 10.1016/j.ins.2009.09.004
期刊: INFORMATION SCIENCES
Volume: 180
Issue: 1
起始頁: 62
結束頁: 70
顯示於類別:期刊論文


文件中的檔案:

  1. 000272108200005.pdf