Type of Document Master's Thesis Author McCullough, Bernard Curtis URN etd-06102012-040235 Title A two-point vehicle classification system Degree Master of Science Department Civil Engineering Advisory Committee
Advisor Name Title Ardekani, Siamak A. Committee Chair Drew, Donald R. Committee Member Hobeika, Antoine G. Committee Member Keywords
Date of Defense 1988-02-22 Availability restricted AbstractThe counting and classification of vehicles is an important part of transportation engineering.
In the past twenty years many automated systems have been developed to accomplish
that labor-intensive task. Unfortunately most of those systems are characterized by
inaccurate detection systems and/or classification method's which result in many classification
errors, thus limiting the accuracy of the system.
This report describes the development of a new vehicle classification program, originally
designed for use in the Two-Point-Time-Ratio method of vehicle classification, which could
greatly improve the accuracy of automated classification systems. The program utilizes data
provided by either vehicle detection sensors, or the program user, to determine the velocity,
number of axles, and axle spacings of a passing vehicle. It then matches the axle numbers
and spacings with one of forty-one possible vehicle classifications and prints the vehicle class,
speed, and wheelbase lengths. It also tabulates and prints totals and average speeds for each
This report then describes a roadside experiment conducted to test the accuracy of the
program, and the results of that experiment, which show the program classifications to be
The report then describes the options available within the program, and provides instructions
and an example on the use of the program. Possible future expansions of the system
are also cited.
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