Artificial Neural Network Speed Profile Model for Construction Work Zones on High-Speed Highways
Publication: Journal of Transportation Engineering
Volume 133, Issue 3
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.
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Acknowledgments
This research was funded by the National Cooperative Highway Research Program.
References
Benekohal, R. F., Mohideen, A. Z. K., and Chitturi, M. V. (2003). “Evaluation of construction work zone operational issues: Capacity, queue, and delay.” Final Rep. No. ITRC FR 00/01-4, Project IVA-H1, FY 00/01, Illinois Transportation Research Center, Illinois Dept. of Transportation, Chicago.
Benekohal, R. F., and Wang, L. (1994). “Relationship between initial speed and speed inside a highway work zone.” Transportation Research Record. 1442, Transportation Research Board, Washington, D.C., 41–48.
Chandra, S., and Kumar, U. (2003). “Effect of lane width on capacity under mixed traffic conditions in India.” J. Transp. Eng., 129(2), 155–160.
Cybenko, G. (1989). “Approximation by superpositions of a sigmoidal function.” Math. Control, Signals, Syst., 2, 303–314.
Demuth, H. B., and Beale, M. (2004). Neural network toolbox user’s guide: For use with MATLAB, The Mathworks, Inc., Natick, Mass.
Dixon, K. K., Wu, C.-H., Sarasua, W., and Daniel, J. (1999). “Posted and free-flow speeds for rural multilane highways in Georgia.” J. Transp. Eng., 125(6), 487–494.
Fitzpatrick, K., Krammes, R. A., Fambro, and D. B. (1997). “Design speed, operating speed, and posted speed relationships.” ITE J., 67, 2.
Hagan, M. T., Demuth, H. B., and Beale, M. (1996). Neural network design, PWS.
Haykin, S. (1999). Neural networks—A comprehensive foundation, 2nd Ed., Prentice-Hall, Englewood Cliffs, N.J.
Hooshdar, S., and Adeli, H. (2004). “Toward intelligent variable message signs in freeway work zones: Neural network model.” J. Transp. Eng., 130(1), 83–93.
Mahoney, K. M., Porter, R. J., Taylor, D. R., Kulakowski, B. T., Elefteriadou, L., Lee, D. U., and Ullman, G. L. (2005). “Design of construction work zones on high speed highways.” NCHRP 3-69 2nd Interim Rep., Transportation Research Board, National Research Council, Washington, D.C.
McFadden, J., Yang, W. T., and Durrans, S. R. (2001). “Application of artificial neural networks to predict speeds on two-lane rural highways.” Transportation Research Record. 1751, Transportation Research Board, 9–17.
Principe, J. C., Euliano, N. R., and Lefebvre, C. W. (1999). Neural and adaptive systems: Fundamentals through simulations, Wiley, New York.
Vemuri, A. T., Polycarpou, M. M., and Pant, P. D. (1998). “Short-term forecasting of traffic delays in highway construction zones using on-line approximators.” Math. Comput. Modell., 27(9–11), 311–322.
Information & Authors
Information
Published In
Journal of Transportation Engineering
Volume 133 • Issue 3 • March 2007
Pages: 198 - 204
Copyright
© 2007 ASCE.
History
Received: Mar 2, 2006
Accepted: Jun 16, 2006
Published online: Mar 1, 2007
Published in print: Mar 2007
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