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

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.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/8674831
• Authors:
  • Taylor, Douglas R
  • Muthiah, Saravanan
  • Kulakowski, Bohdan T
  • Mahoney, Kevin M
  • Porter, Richard J
• Publication Date: 2007-3

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 198-204
• Serial:
  • Journal of Transportation Engineering
  • Volume: 133
  • Issue Number: 3
  • Publisher: American Society of Civil Engineers
  • ISSN: 0733-947X
  • Serial URL: https://ascelibrary.org/journal/jtepbs

Subject/Index Terms

• TRT Terms: Alignment; Automobiles; Cross sections; Highways; Motor vehicles; Neural networks; Road construction; Traffic speed; Trucks; Work zone traffic control; Work zones
• Uncontrolled Terms: Speed profile
• Subject Areas: Construction; Highways; Motor Carriers; Operations and Traffic Management; Planning and Forecasting; I50: Construction and Supervision of Construction; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01044748
• Record Type: Publication
• Files: TRIS, ATRI
• Created Date: Mar 13 2007 9:17AM