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ITS Data Compression by Using Advanced Signal
Processing Techniques
Principal
Investigator:
Dr. Fengxiang Qiao and Dr. Lei Yu
Sponsoring Agency:
Southwest Region University Transportation
Center, SWUTC 167651
Period:
September 1, 2004 ~ August 31, 2005
Research
Abstract:
It is very
expensive and difficult to store and manage ITS
data in a way that can meet a variety of needs
and applications. Some current data archiving
systems have been developed to deal with the
massive amount of data collected from Traffic
Management Centers (TMCs). However in most of
times, the data are still too huge to be well
organized, managed, archived, and smoothly used
by the end users. It is very necessary to
develop sophisticated approaches to process,
manage, and archive ITS data. Effective data
compression is one of them. Based on the theory
of single processing, the real time ITS data
sets can be decomposed into different
components. As long as the characteristics of
these components are properly stored, the
original signal (ITS data set) can be accurately
approximated.
In this project,
the advanced signal procession techniques (e.g.
Wavelet Transformation) are used to decompose
and compress the ITS data set. The signals are
subsequently be recovered by adequate
reconstruction algorithms. Computer software
coded in MATLAB was developed with suitable
Graphic User Interfaces (GUI) designed. The
efficiency of the proposed ITS data compression
approaches is examined through the case study in
suitable test beds including San Antonio
TransGuide. Conclusions and recommendations are
provided in the final report.
Research
Information
For further information about the research,
please contact Dr. Lei Yu by telephone at
(713) 313-7282 or by e-mail at
yu_lx@tsu.edu.
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