Artificial Neural Network Speed Profile Model for Construction Work Zones on High-Speed Highways

Abstract

Speed profile models can be used as a diagnostic tool by highway engineers. Previous work has investigated relationships between operating speed and geometric roadway elements for permanent roadway conditions on predominantly two-lane rural roads. However, little research of this type has been directed specifically toward construction work zones. In this study, a speed profile model for construction work zones on high speed highways was developed using artificial neural networks and made available for use by practitioners through a MS EXCEL interface. The model inputs include horizontal and vertical alignment variables, cross section dimensions and traffic control features. A linear reference system is used for model input and output. Three categories of vehicles—cars, trucks, and all vehicles—were used in this study. Models for the 15th percentile speed, mean speed, and 85th percentile speed were developed.