Author(s): Lee, WH (Lee, Wei-Hsun); Tseng, SS (Tseng, Shian-Shyong); Shieh, WY (Shieh, Wern-Yarng)
Title: Collaborative real-time traffic information generation and sharing framework for the intelligent transportation system
Source: INFORMATION SCIENCES, 180 (1): 62-70 Sp. Iss. SI JAN 2 2010 Language: English
Document Type: Article
Author Keywords: Collective intelligence; Traffic status prediction; Smart traffic agent;
Intelligent transportation system (ITS); Knowledge-based system KeyWords Plus: PREDICTION
Abstract: 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.
Addresses: [Lee, Wei-Hsun; Tseng, Shian-Shyong] Natl Chiao Tung Univ, Dept Comp Sci, Hsinchu 300, Taiwan; [Lee, Wei-Hsun] Telecommun Labs Chung Hwa Telecom, Tao Yuan 326, Taiwan; [Tseng, Shian-Shyong] Asia Univ, Dept Informat Sci & Applicat, Taichung 413, Taiwan; [Shieh, Wern-Yarng] St Johns Univ, Dept Comp & Commun Engn, Taipei 251, Taiwan Reprint Address: Tseng, SS, Natl Chiao Tung Univ, Dept Comp Sci, 1001 Ta Hsueh Rd, Hsinchu 300, Taiwan.
E-mail Address: leews@cht.com.tw; sstseng@asia.edu.tw; shiehwy@mail.sju.edu.tw Funding Acknowledgement:
Funding Agency Grant Number
National Science Council of the Republic of China NSC95-2520S009-008-MY3
This work was partially supported by National Science Council of the Republic of China under Grant No. NSC95-2520S009-008-MY3. The authors wish to express their appreciation to the Telecommunication Labs of Chunghwa Telecom Co. Ltd. for co-working the proposed framework.
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Publisher: ELSEVIER SCIENCE INC
Publisher Address: 360 PARK AVE SOUTH, NEW YORK, NY 10010-1710 USA ISSN: 0020-0255
DOI: 10.1016/j.ins.2009.09.004
29-char Source Abbrev.: INFORM SCIENCES ISO Source Abbrev.: Inf. Sci.
Source Item Page Count: 9
Subject Category: Computer Science, Information Systems ISI Document Delivery No.: 523XK