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Content Provider | IEEE Xplore Digital Library |
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Author | Xiaoguang Yang Mei Tong |
Copyright Year | 2008 |
Description | Author affiliation: Sch. of Transp. Eng., Tongji Univ., Shanghai (Xiaoguang Yang; Mei Tong) |
Abstract | Massive raw traffic data such as loop data, vehicle GPS data stay undeveloped for administrative or technical purpose in transportation industries in China. Information-Service-Oriented Experimental Transportation System (IETS) aims at exploring and deducing useful traffic information from real-time collecting traffic data and publishing the information as a value-added service. Knowledge discovery techniques have played an important role in IETS. The system was implemented followed a classical steps of KDD. The procedure of system data modeling was split into five phases, topic determining, data preparing, data transforming, analysis modeling and data exploring. An example was given by an observation-hypothesis-verification approach to show how OLAP methods were used to discovery unknown information beneath the traffic data in IETS. Using knowledge discovery techniques in IETS, we can find useful information that might be useful to provide decision support for the planers and managers of transportation systems. |
Starting Page | 787 |
Ending Page | 790 |
File Size | 277374 |
Page Count | 4 |
File Format | |
ISBN | 9780769533575 |
DOI | 10.1109/ICICTA.2008.196 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-10-20 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Real time systems Data analysis Roads Telecommunication traffic Traffic control Communication system traffic control Data mining Intelligent transportation systems Global Positioning System Information analysis |
Content Type | Text |
Resource Type | Article |
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