Radial Basis Function Neural Network for Work Zone Capacity and Queue Estimation
Publication: Journal of Transportation Engineering
Volume 129, Issue 5
Abstract
An adaptive computational model is presented for estimating the work zone capacity and queue length and delay, taking into account the following factors: number of lanes, number of open lanes, work zone layout, length, lane width, percentage trucks, grade, speed, work intensity, darkness factor, and proximity of ramps. The model integrates judiciously the mathematical rigor of traffic flow theory with the adaptability of neural network analysis. A radial-basis function neural network model is developed to learn the mapping from quantifiable and nonquantifiable factors describing the work zone traffic control problem to the associated work zone capacity. This model exhibits good generalization properties from a small set of training data, a specially attractive feature for estimating the work zone capacity where only limited data is available. Queue delays and lengths are computed using a deterministic traffic flow model based on the estimated work zone capacity. The result of this research is being used to develop an intelligent decision support system to help work zone engineers perform scenario analysis and create traffic management plans consistently, reliably, and efficiently.
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References
Adeli, H.(2001). “Neural networks in civil engineering: 1989-2000.” Comput. Aided Civ. Infrastruct. Eng., 16(2), 126–142.
Adeli, H., and Hung, S. L. (1995). Machine learning—neural networks, genetic algorithms, and fuzzy systems, Wiley, New York.
Adeli, H., and Karim, A.(2000). “A fuzzy-wavelet RBFNN model for freeway incident detection.” J. Transp. Eng., 126(6), 464–471.
Adeli, H., and Karim, A. (2001). Construction scheduling, cost optimization, and management: a new model based on neurocomputing and object technologies, E&FN Spon, London.
Adeli, H., and Park, H. S. (1998). Neurocomputing for design automation, CRC Press, Boca Raton, Fla.
Adeli, H., and Wu, M.(1998). “Regularization neural network for construction cost estimation.” J. Constr. Eng. Manage., 124(1), 18–24.
Cassidy, M. J., and Bertini, R. L.(1999). “Some traffic features at freeway bottlenecks.” Trans. Res., Part B: Methodol., 33, 25–42.
Cassidy, M. J., and Mauch, M.(2001). “An observed traffic pattern in long freeway queues.” Trans. Res., Part A: Policy Pract., 35, 143–156.
Chien, S., and Schonfeld, P.(2001). “Optimal work zone lengths for four-lane highways.” J. Transp. Eng., 127(2), 124–131.
Cottrell, W. D.(2001). “Empirical freeway queuing duration model.” J. Transp. Eng., 127(1), 13–20.
Dixon, K. K., and Hummer, J. E. (1995). Capacity and delay in major freeway construction, Center for Transportation Engineering Studies, North Carolina State University, Raleigh, N.C.
Dixon, K. K., Hummer, J. E., and Lorscheider, A. R. (1996). “Capacity for North Carolina freeway work zones.” Transportation Research Record 1529, Transportation Research Board, Washington, D.C., 27–34.
Federal Highway Administration (FHWA). (1998). “Transportation Equity Act for the 21st century.” 〈http://www.fhwa.dot.gov/tea21〉.
Federal Highway Administration (FHWA). (2000). “Meeting the customer’s needs for mobility and safety during construction and maintenance operations.” 〈http://www.fhwa.dot.gov/reports/bestprac.pdf〉.
Islam, M. N., and Seneviratne, P. N.(1993). “Work-zone traffic management with transportation planning software.” Can. J. Civ. Eng., 20, 471–479.
Jiang, Y. (1999). “Traffic capacity, speed, and queue-discharge rate of Indiana’s four-lane freeway work zones.” Transportation Research Record 1657, Transportation Research Board, Washington, D.C., 10–17.
Kim, T., Lovell, D. J., and Paracha, J. (2001). “A new methodology to estimate capacity for freeway work zones.” Proc., 2001 Transportation Research Board Annual Meeting 〈http://wzsafety.tamu.edu/docs/00675.pdf〉.
Krammes, R. A., Dudek, C. L., and Memmott, J. L. (1987). “Computer model for evaluating and scheduling freeway work-zone lane closures.” Transportation Research Record 1148, Transportation Research Board, Washington, D.C., 18–24.
Krammes, R. A., and Lopez, G. O. (1994). “Updated capacity values for short-term freeway work zone lane closures.” Transportation Research Record 1442, Transportation Research Board, Washington, D.C., 49–56.
May, A. D. (1990). Traffic flow fundamentals, Prentice-Hall, Englewood Cliffs, N.J.
Memmott, J. L., and Dudek, C. L. (1984). “Queue and user cost evaluation of work zones (QUEWZ).” Transportation Research Record 979, Transportation Research Board, Washington, D.C., 12–19.
Mitretek. (2000). “QuickZone delay estimation program: user guide, beta version 0.91.” 〈http://www.ops.fhwa.dot.gov/wz/quickz.htm〉.
Moody, J., and Darken, C. J.(1989). “Fast learning in networks of locally-tuned processing units.” Neural Comput., 1, 281–294.
Ohio Department of Transportation (ODOT). (2000). “Traffic management in work zones: interstate and other freeways.” Policy No. 516-003(P), Columbus, Ohio.
Poggio, T., and Girosi, F.(1990). “Networks for approximation and learning.” Proc. IEEE, 78, 1481–1497.
Sadegh, A., Radwan, A. E., and Rouphail, N. M. (1988). “ARTWORK: a simulation model of urban arterial work zones.” Transportation Research Record 1163, Transportation Research Board, Washington, D.C., 1–3.
Transportation Research Board (TRB). (2000). Highway capacity manual, Washington, D.C.
Ullman, G. L. (1996). “Queuing and natural diversion at short-term freeway work zone lane closures.” Transportation Research Record 1529, Transportation Research Board, Washington, D.C., 19–26.
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Copyright © 2003 American Society of Civil Engineers.
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Received: Nov 20, 2001
Accepted: Oct 21, 2002
Published online: Aug 15, 2003
Published in print: Sep 2003
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