Forecasting Overall Pavement Condition with Neural Networks: Application on Florida Highway Network

Transportation Research Record

Volumn , Issue 1853, 2003, Pages 3-12

  Yang, Jidong ^a   Lu, Jian John ^a   Gunaratne, Manjriker ^a   Xiang, Qiaojun ^b  

^a UNIVERSITY OF SOUTH FLORIDA   (United States)

^b SOUTHEAST UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTATIONAL METHODS; CRACKS; DATA PROCESSING; DATABASE SYSTEMS; FUNCTIONS; MATHEMATICAL MODELS; NEURAL NETWORKS; PARALLEL PROCESSING SYSTEMS; PAVEMENTS; PERSONNEL TRAINING; PROBLEM SOLVING; SOLDERED JOINTS;

BRAINMAKER; PAVEMENT CONDITION RATINGS (PCR);

HIGHWAY ENGINEERING;

EID: 1942536648     PISSN: 03611981     EISSN: None     Source Type: Journal    
DOI: 10.3141/1853-01     Document Type: Conference Paper

References (8)

1. Lou, Z., M. Gunaratne, J. J. Lu, and B. Dietrich. Application of Neural Network Model to Forecast Short-Term Pavement Crack Condition: Florida Case Study. Journal of Infrastructure Systems, Vol. 7, No. 4, 2001, pp. 166-171.
2. Shekharan, A. R. Pavement Performance Prediction by Artificial Neural Networks. Computational Intelligence Applications in Pavement and Geomechanical Systems, A. A. Balkema, Rotterdam, Netherlands, 2000, pp. 89-98.
3. Owusu-Ababio, S. Application of Neural Networks to Modeling Thick Asphalt Pavement Performance. Artificial Intelligence and Mathematical Methods in Pavement and Geomechanical Systems, A. A. Balkema, Rotterdam, Netherlands, 2000, pp. 23-30.
4. Attoh-Okine, N. O. Predicting Roughness Progression in Flexible Pavements Using Artificial Neural Networks. Proc., Third International Conference on Managing Pavements, Vol. 1, 1994, pp. 55-62.
5. Lawrence, J., and J. Fredrickson. BrainMaker User's Guide and Reference Manual, 7th ed. California Scientific Software, Nevada City, Calif., 1993.
6. Haykin, S. Neural Networks - A Comprehensive Foundation. MacMillan College Publishing, New York, 1994.
7. Funahashi, K. On the Approximate Realization of Continuous Mappings by Neural Networks. Neural Networks, Vol. 2, No. 3, 1989, pp. 183-192.
8. Hornik, K., M. Stinchcombe, and H. White. Multilayer Feedforward Networks Are Universal Approximators. Neural Networks, Vol. 2, No. 5, 1989, pp. 359-366.