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Artificial neural network speed profile model for construction work zones on high-speed highways
- Source :
- Journal of Transportation Engineering. March, 2007, Vol. 133 Issue 3, p198, 7 p.
- Publication Year :
- 2007
-
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. DOI: 10.1061(ASCE)0733-947X(2007)133:3(198) CE Database subject headings: Traffic speed; Highway construction; Neural network; Workspace; Models.
Details
- Language :
- English
- ISSN :
- 0733947X
- Volume :
- 133
- Issue :
- 3
- Database :
- Gale General OneFile
- Journal :
- Journal of Transportation Engineering
- Publication Type :
- Academic Journal
- Accession number :
- edsgcl.160105783