"The traffic flow model developed in this study is a digital computer simulation utilizing the technique of periodic scanning to move the vehicles through a series of unit blocks. The model simulates traffic flow on a rural two-lane highway by assuming a straight and level road and incorporating sight distance restrictions and no-passing zones to simulate the effect of limited sight distance. By utilizing various "passing rules" to initiate the passing maneuver, three general topics were investigated. This study investigated the use of 1000 ADT as a criterion for yellow line striping no-passing by using the computer simulation to determine at what traffic volume a significant number of potential passing conflicts begin to occur. The "pass only when safe to pass" passing rule was used to determine the relationship between the passing maneuver and traffic volume when the effect of human error was removed. By using various values for gap acceptance in the computer model, it was possible to determine if gap acceptance is a significant factor in the overall flow characteristics of a two-lane highway. The results of the research indicated that: (l) 1000 ADT is a reasonable criterion for striping no-passing zones. (2) if vehicles attempt to pass only when it is safe to pass, the maximum number of passes per mile per hour occurs when traffic volumes reach the region of 800 vehicles per hour, and (3) gap acceptance is a significant factor in the overall flow characteristics of a two-lane highway"--Abstract, page ii.
Josey, James L.
Gerig, Frank A.
Kern, Frank J.
Civil, Architectural and Environmental Engineering
M.S. in Civil Engineering
University of Missouri--Rolla
2, viii, 56 pages
© 1971 D. Jay Frankenfield, All rights reserved.
Thesis - Open Access
Library of Congress Subject Headings
Traffic flow -- Computer simulation -- Design
Traffic signs and signals -- Computer simulation
Print OCLC #
Electronic OCLC #
Link to Catalog Record
Frankenfield, D. Jay, "A digital computer simulation of a rural two-lane highway" (1971). Masters Theses. 7226.