Passing on two-lane roadways is one of the most difficult movements a driver may
perform and guidance on where passing maneuvers are prohibited is given by the
location of no-passing zones. Currently the processes for identifying no-passing zone
locations can be daunting and many practices require work crews to operate in the
roadway creating potentially hazardous situations. Due to these challenges new
alternatives need to be developed for the safe, accurate, and efficient location of nopassing
zones on two-lane roadways.
This thesis addresses the use of Global Positioning System (GPS) coordinates to
evaluate sight distance along the vertical profile of roadways to provide an alternative
for an automated no-passing zone location system. A system was developed that
processes GPS coordinates and converts them into easting and northing values, smoothes
inaccurate vertical elevation data, and evaluates roadway profiles for possible sight
restrictions which indicate where no-passing zones should be located. The developed automated no-passing zone program shows potential in that it identifies
the general location of no-passing zones as compared to existing roadway markings.;
however, as concluded by the researcher, further evaluation and refinement is needed
before the program can be used effectively in the field for the safe, accurate, and
efficient location of no-passing zones.
Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/85917 |
Date | 10 October 2008 |
Creators | Williams, Cameron Lee |
Contributors | Hawkins, H. Gene |
Publisher | Texas A&M University |
Source Sets | Texas A and M University |
Language | en_US |
Detected Language | English |
Type | Book, Thesis, Electronic Thesis, text |
Format | electronic, born digital |
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