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Title New Inductive Signature Data Compression and Transformation Method for Online Vehicle Reidentification
Accession No 01024485
Authors Jeng, Shin-Ting (Cindy) information; Ritchie, Stephen G information
Conference Title Transportation Research Board 85th Annual Meeting information
Corp. Authors
/ Publisher
Transportation Research Board information
Publication Date   20060000
Description 26p; Figures; References; Tables
Media Type CD-ROM
Languages English
Abstract Traffic operations field computational resources as well as the bandwidth of field communication links are often quite limited. Accordingly, for on-line implementation of Advanced Transportation Management and Information Systems (ATMIS) strategies, such as vehicle reidentification, there is strong interest in development of field—based techniques and models that can perform satisfactorily while minimizing field computational and communication requirements. A new vehicle reidentification algorithm (REID-2) developed previously by the authors (1) was oriented toward algorithm simplification, but also demonstrated the added benefits of improved performance and much broader potential applicability (to both round and square single inductive loops) compared with earlier methods. However, the basis of REID-2 is directly matching inductive vehicle signatures, which typically consist of 200~1,200 data points (stored as integers, and obtained from IST-222 detector cards) per signature. The purpose of this research was to investigate if a relatively simple data compression and transformation technique could be applied successfully to the raw inductive signatures for each vehicle, and then use the resulting transformed vehicle signatures as inputs to vehicle reidentification. A Piecewise Slope Rate (PSR) approach was used to compress and transform the raw vehicle signatures. The results of this investigation, including sensitivity analyses, vehicle reidentification performance, and the accuracy of section travel time measurement, are very promising and suggest that the reduction in both computational effort and computer memory needed to store individual signatures with this approach could potentially benefit both the field computational and communication requirements needed for real-time implementation of this modified vehicle reidentification technique.
TRT Terms Communications information; Data communications information; Data compression information; Highway operations information; Travel time information
Identifier Terms REID-2
Other Terms Advanced transportation management and information system; Traffic operations analysis; Vehicle reidentification; Vehicle reidentification technology; Vehicle signature
Subject Areas H11 ADMINISTRATION; H12 PLANNING; I72 Traffic and Transport Planning
Report Number 06-3068
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Source Data: Transportation Research Board Annual Meeting 2006 Paper #06-3068
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TRIS is a bibliographic database funded by sponsors of the Transportation Research Board (TRB), primarily the state departments of transportation and selected federal transportation agencies. TRIS Online is hosted by the National Transportation Library under a cooperative agreement between the Bureau of Transportation Statistics and TRB.
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