Application of soft computing for prediction of pavement condition index

Journal of Transportation Engineering

Volumn 138, Issue 12, 2012, Pages 1495-1506

  Shahnazari, Habib ^a   Tutunchian, Mohammad A ^a   Mashayekhi, Mehdi ^a,b   Amini, Amir A ^a  

^a IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

^b North Carolina State University   (United States)

Author keywords

Genetic programming; Neural networks; Pavement condition index; Soft computing

Indexed keywords

FIELD-MEASURED DATA; OPERATIONAL CONDITIONS; OPTIMIZATION TECHNIQUES; PAVEMENT CONDITION INDICES; PAVEMENT MANAGEMENT SYSTEMS; SOFT COMPUTING METHODS; SPREADSHEET SOFTWARE; VISUAL INSPECTION;

GENETIC ALGORITHMS; GENETIC PROGRAMMING; NEURAL NETWORKS; SOFT COMPUTING;

PAVEMENTS;

ARTIFICIAL NEURAL NETWORK; GENETIC ALGORITHM; OPTIMIZATION; PAVEMENT; PRECISION; QUANTITATIVE ANALYSIS; RELIABILITY ANALYSIS; STRUCTURAL ANALYSIS;

EID: 84884628748     PISSN: 0733947X     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)TE.1943-5436.0000454     Document Type: Article

References (24)

1. Alavi, A. H., Ameri, M., Gandomi, A. H., and Mirzahosseini, M. R. (2011). "Formulation of flow number of asphalt mixes using a hybrid computational method." Constr. Build. Mater., 25(3), 1338-1355.
2. ASTM D6433-03. (2003). "Standard practice for roads and parking lots pavement condition index." ASTM international, West Conshohocken.
3. Hinchliffe, M. P.,Willis, M. J., Hiden, H. G., Tham, M. T., McKay, B., and Barton, G. W. (1996). "Modeling chemical process systems using a multi-gene genetic programming algorithm." Genetic programming: Proc., First Annual Conf. (late breaking papers), J. Koza, ed., MIT Press, USA, 56-65.
4. Huang, Y. H. (2004). Pavement analysis and design, 2nd Ed., Pearson Prentice Hall, Upper Saddle River, New Jersey.
5. Johari, A., Habibagahi, G., and Ghahramani, A. (2006). "Prediction of soilwater characteristic curve using genetic programming." J. Geotech. Geoenviron. Eng., 132(5), 661-665.
6. Koza, J. R. (1992). "Genetic programming: On the programming of computers by means of natural selection." MIT Press, Cambridge, MA.
7. Lacroix, A., Kim, Y. R., and Ranjithan, S. (2008). "Backcalculation of dynamic modulus from resilient modulus of asphalt concrete with an artificial neural network." Transp. Res. Rec.: J. Transp. Res. Board, 2057, 107-113.
8. MATLAB version 7.9.0. (2009). [Computer software]. The MathWorks Inc., Natick, MA.
9. Ozsahin, T. S., and Oruc, S. (2008). "Neural network model for resilient modulus of emulsified asphalt mixtures." Constr. Build. Mater., 22(7), 1436-1445.
10. Rakesh, N., Jain, A. K., Amaranatha Reddy, M., and Sudhakar Reddy, K. (2006). "Artificial neural networks-genetic algorithm based model for backcalculation of pavement layer moduli." Int. J. Pavement Eng., 7(3), 221-230.
11. Rezania, M., and Javadi, A. A. (2007). "A new genetic programming model for prediction settlement of shallow foundations." Can. Geotech. J., 44(12), 1462-1472.
12. Saltan, M., and Sezgin, H. (2007). "Hybrid neural network and finite element modeling of subbase layer material properties in flexible pavements." Mater. Des., 28(5), 1725-1730.
13. Saltan, M., and Terzi, S. (2008). "Modeling deflection basin using artificial neural networks with cross-validation technique in back calculating flexible pavement layer moduli." Adv. Eng. Softw., 39(7), 588-592.
14. Schwartz, C. W. (1993). "Infrastructure condition forecasting using neural networks." Proc., Infrastructure Planning and Management, J. L. Gifford, D. R. Vzarski, and S. McNeil, eds., ASCE, New York, 282-284.
15. Searson, D. P. (2002). "Non-linear PLS using genetic programming." Ph.D. thesis, School of Chemical Engineering and Advanced Materials, Univ. of Newcastle, UK.
16. Searson, D. P. (2009). "GPTIPS: Genetic programming and symbolic regression for MATLAB." 〈 gptips.sourceforge.net〉 (Feb. 10, 2010).
17. Shahin, M. A., Maier, H. R., and Jaksa, M. B. (2004). "Data division for developing neural networks applied to geotechnical engineering." J. Comput. Civ. Eng., 18(2), 105-114.
18. Shahin, M. Y. (2005). Pavement management for airports, roads and parking lots, 2nd Ed., Springer, New York.
19. Shahin, M. Y., and Kohn, S. D. (1981). "Pavement maintenance management for roads and parking lots." Technical Rep. M-294, Construction Engineering Research Laboratory, U.S. Army, Corps of Engineers, Univ. of Illinois at Urbana-Champaign, Springfield, VA, 209.
20. Shahnazari, H., Dehnavi, Y., and Alavi, A. H. (2010). "Numerical modeling of stress-strain behavior of sand under cyclic loading." J. Eng. Geol., 116(1-2), 53-72.
21. Tapki{dotless}n, S., Cevik, A., and Usar, Ü. (2009). "Accumulated strain prediction of polypropylene modified Marshall specimens in repeated creep test using artificial neural networks." Expert Syst. Appl., 36(8), 11186-11197.
22. Terzi, S. (2007). "Modeling the pavement serviceability ratio of flexible highway pavements by artificial neural networks." Constr. Build. Mater., 21(3), 590-593.
23. Xiao, F., and Amirkhanian, S. N. (2009). "Artificial neural network approach to estimating stiffness behavior of rubberized asphalt concrete containing reclaimed asphalt pavement." J. Transp. Eng., 135(8), 580-589.
24. Yang, J. (2004). "Road crack condition performance modeling using recurrent Markov chains and artificial neural networks." Ph.D. dissertation, Univ. of South Florida.