An evaluation of freeway lane control signing using computer simulation

Authors:
L. Schaefer;J. Upchurch;S. A. Ashur
Affiliations:
Department of Industrial and Management Systems Engineering Arizona State University, Tempe, AZ 85287, U.S.A.;Department of Civil Engineering Arizona State University, Tempe, AZ 85287-5306, U.S.A.;Department of Civil Engineering University of Texas at El Paso, El Paso, TX 79968-0516, U.S.A.
Venue:
Mathematical and Computer Modelling: An International Journal
Year:
1998

Citing 2
Cited 2

Introduction to simulation and SLAM II (2nd ed.)

Introduction to simulation and SLAM II (2nd ed.)
Flocks, herds and schools: A distributed behavioral model

SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques

A dynamic and automatic traffic light control expert system for solving the road congestion problem

Expert Systems with Applications: An International Journal
Presenting a fuzzy model to control and schedule traffic lights

Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology

Quantified Score

Hi-index	0.98

Visualization

Abstract

Lane control has been proposed as a traffic congestion alleviation method. For this method to work, a certain minimum percentage of the drivers must comply with the lane signing. The research described here has been performed to analyze the percentage of drivers that must comply with lane control. A simulation model was developed and tested. The simulation results for heavy traffic flow (1550 vehicles per hour per lane-vphpl), medium traffic flow (900 vphpl), and light traffic flow (300 vphpl) conditions indicate that lane control has little influence on congestion, regardless of the percentage of drivers that comply with the lane control signing. For heavy flow, the congestion level remains high even when all drivers comply. For medium and light flow, the congestion level remains low even when no drivers comply. The region between heavy and medium traffic flow is, however, sensitive to lane control. Four flow rates between medium and heavy flow were tested. The impact of lane control under these conditions is described.