Author(s): Lee, WH (Lee, Wei-Hsun); Tseng, SS (Tseng, Shian-Shyong); Tsai, SH (Tsai, Sheng-Han)
Title: A knowledge based real-time travel time prediction system for urban network Source: EXPERT SYSTEMS WITH APPLICATIONS, 36 (3): 4239-4247 Part 1 APR 2009 Language: English
Document Type: Article
Author Keywords: Knowledge based system; Spatiotemporal data mining; Travel time prediction; Intelligent transportation system (ITS)
Abstract: Many approaches had been proposed for travel time prediction in these decades;
most of them focus on the predicting the travel time on freeway or simple arterial network.
Travel time prediction for urban network in real time is hard to achieve for several reasons:
complexity and path routing problem in urban network, unavailability of real-time sensor data, spatiotemporal data coverage problem, and lacking real-time events consideration. In this paper, we propose a knowledge based real-time travel time prediction model which contains real-time and historical travel time predictors to discover traffic patterns from the raw data of location based services by data mining technique and transform them to travel time prediction rules. Besides, dynamic weight combination of the two predictors by meta-rules is proposed to provide a real-time traffic event response mechanism to enhance the precision of the travel time prediction. (c) 2008 Elsevier Ltd. All rights reserved.
Addresses: [Lee, Wei-Hsun; Tseng, Shian-Shyong; Tsai, Sheng-Han] Natl Chiao Tung Univ, Dept Comp Sci, Hsinchu 300, Taiwan; [Tseng, Shian-Shyong] Asia Univ, Dept Informat Sci &
Applicat, Taichung 413, Taiwan
Reprint Address: Lee, WH, Natl Chiao Tung Univ, Dept Comp Sci, 1001 Ta Hsueh Rd, Hsinchu 300, Taiwan.
E-mail Address: leews@cht.com.tw Funding Acknowledgement:
Funding Agency Grant Number
National Science Council of the Republic of China NSC96-2752-E009-006-PAE
This work was partially supported in part by National Science Council of the Republic of China under Grant No. NSC96-2752-E009-006-PAE. The authors wish to express their appreciations to the Research Institute of Chunghwa Telecom for kindly sharing the raw data of their online TDS system.
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Publisher: PERGAMON-ELSEVIER SCIENCE LTD
Publisher Address: THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
ISSN: 0957-4174
DOI: 10.1016/j.eswa.2008.03.018
29-char Source Abbrev.: EXPERT SYST APPL ISO Source Abbrev.: Expert Syst. Appl.
Source Item Page Count: 9
Subject Category: Computer Science, Artificial Intelligence; Engineering, Electrical &
Electronic; Operations Research & Management Science ISI Document Delivery No.: 410NJ
