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Automated calculation of passing sight distance using Global Positioning System data

Author: Samson R Namala; Margaret J Rys; Kansas State University.; Kansas. Department of Transportation.; K-TRAN (Research program)
Publisher: Topeka, Kan. : Kansas Department of Transportation ; [Springfield, Va. : Available to the public through the National Technical Information Service,] ©2006.
Edition/Format:   Book : State or province government publication : EnglishView all editions and formats
Database:WorldCat
Summary:
The objective of this study was to develop a suitable model for measuring passing sight distance on two-lane, two-way highways using Global Positioning System (GPS) data and identify no passing zones. The model was converted into a computer algorithm and coded in Matlab version 6.5 and requires database toolbox. The algorithm has been tested on 10 highway segments and the results obtained are in agreement with the  Read more...
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Details

Material Type: Government publication, State or province government publication, Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Samson R Namala; Margaret J Rys; Kansas State University.; Kansas. Department of Transportation.; K-TRAN (Research program)
OCLC Number: 70913448
Notes: "July 2006."
"Report no. K-TRAN: KSU-03-2"--Cover.
"A report on research sponsored by the Kansas Dept. of Transportation and Kansas State University."
Description: v, 68 p. : ill. ; 28 cm.
Contents: Literature review --
Parameters for measuring passing sight distance --
Passing sight distance --
Application of the algorithm --
Conclusions.
Responsibility: prepared by Samson R. Namala and Margaret J. Rys.

Abstract:

The objective of this study was to develop a suitable model for measuring passing sight distance on two-lane, two-way highways using Global Positioning System (GPS) data and identify no passing zones. The model was converted into a computer algorithm and coded in Matlab version 6.5 and requires database toolbox. The algorithm has been tested on 10 highway segments and the results obtained are in agreement with the existing conditions.

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