Automating the process for locating no-passing zones using georeferencing data.

Azimi, Mehdi; Hawkins, H. Gene; Texas Transportation Institute

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Automating the process for locating no-passing zones using georeferencing data.

2012-08-01
By Azimi, Mehdi ; Hawkins, H. Gene

[PDF-2.93 MB]

English

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Details:

Creators:

Azimi, Mehdi ; Hawkins, H. Gene

Azimi, Mehdi ; Hawkins, H. Gene Less -
Corporate Creators:

Texas Transportation Institute
Subject/TRT Terms:

[+]

Automation Global Positioning System No Passing Zones Passing Sight Distance Road Markings Two Lane Highways
Publication/ Report Number:

SWUTC/12/161102-1
Resource Type:

Tech Report
Geographical Coverage:

Texas
Corporate Publisher:

Southwest Region University Transportation Center (U.S.)
Abstract:

This research created a method of using global positioning system (GPS) coordinates to identify the location of no-passing zones in two-lane highways. Analytical algorithms were developed for analyzing the availability of sight distance along the alignments of two-lane highways. The main algorithm was incorporated into a computer model that uses GPS data as the input and produces a method for locating no-passing zones. The resulting automated system processes GPS coordinates and converts them into easting and northing values, smoothes GPS data, and evaluates roadway alignment for possible sight restrictions that indicate where no-passing zones should be located.
Format:

PDF
Funding:

10727
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:8fd1941a9a1c35065567243630318b6826acd83dda55a5c1f8ed2cc7d417d52c
Download URL:

https://rosap.ntl.bts.gov/view/dot/25223/dot_25223_DS1.pdf
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No Additional Files

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Automating the process for locating no-passing zones using georeferencing data.

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