Compressing and Querying Multiple GPS Traces for Transportation Planning

Lawson, Catherine T.; Ravi, Sekharipuram S.; Hwang, Jeong-Hyon; State University of New York at Albany

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Compressing and Querying Multiple GPS Traces for Transportation Planning

2013-07-01
By Lawson, Catherine T. ; Ravi, Sekharipuram S. ; Hwang, Jeong-Hyon

[PDF-395.78 KB]

English

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Creators:

Lawson, Catherine T. ; Ravi, Sekharipuram S. ; Hwang, Jeong-Hyon

Lawson, Catherine T. ; Ravi, Sekharipuram S. ; Hwang, Jeong-Hyon Less -
Corporate Creators:

State University of New York at Albany
Corporate Contributors:

United States. Dept. of Transportation. Research and Innovative Technology Administration ; United States. Federal Highway Administration

United States. Dept. of Transportation. Research and Innovative Technology Administration ; United States. Federal Highway Administration Less -
Subject/TRT Terms:

[+]

Algorithms Data And Information Technology Data Compression Global Positioning System GPS Highways I72: Traffic And Transport Planning Planning And Forecasting Research Hub Transportation Planning Vehicle Trajectories
Publication/ Report Number:

49111-31-23
Resource Type:

Tech Report
Geographical Coverage:

United States
TRIS Online Accession Number:

01489299
Edition:

Final Report
Corporate Publisher:

University Transportation Research Center
NTL Classification:

NTL-HIGHWAY/ROAD TRANSPORTATION-HIGHWAY/ROAD TRANSPORTATION;NTL-PLANNING AND POLICY-Planning - Newsletters;
Abstract:

In recent years, there has been a significant increase in the number of vehicles which have been equipped with GPS devices. These devices generate huge volumes of trace data, and information extracted from these traces could significantly help transportation planners with routine tasks and special studies. However, extracting information from trace data is a challenging problem because of the proliferation of GPS devices and the rate at which trace data is generated. One approach for handling this problem is to compress the GPS data in such a way that the amount of information lost due to compression is as small as possible. During the period of this project, our focus was on the design, implementation and evaluation of GPS trajectory compression algorithms that can achieve specified compression rates while minimizing the information loss due to compression. Our work has led to new algorithms for compressing single and multiple GPS traces.
Format:

PDF
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:b455f8bcc993002f10c56bb58dfe3399019adaa9640a03ff3f43317423e7f95a
Download URL:

https://rosap.ntl.bts.gov/view/dot/26182/dot_26182_DS1.pdf
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Compressing and Querying Multiple GPS Traces for Transportation Planning

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