Artificial intelligence techniques for pavement performance prediction: a systematic review
Author:
Affiliation:
1. Department of Civil and Environmental Engineering, University of Waterloo, Waterloo, Ontario, Canada
2. Department of Systems Design Engineering, University of Waterloo, Waterloo, Ontario, Canada
Funder
National Research Council Canada
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/14680629.2024.2373222
Reference169 articles.
1. AASHTO (1993). AASHTO guide for design of pavement structures 1993 (Vol. 1). Aashto.
2. Abo-Hashema, M. A. (2013). Modeling pavement temperature prediction using artificial neural networks. In Airfield & Highway Pavement Conference: Sustainable Efficient Pavements, American Society of Civil Engineers, (pp. 490–505) Los Angeles, CA, USA, June 2013.
3. Amin M. S. R. (2015). The pavement performance modeling: Deterministic vs. Stochastic approaches. In Numerical Methods for Reliability and Saf. Assess.: Multiscale and Multiphysics Systems (pp. 179–196). Springer International Publishing.
4. Pavement management with dynamic traffic and artificial neural network: a case study of Montreal
5. Backpropagation Neural Network to estimate pavement performance: dealing with measurement errors
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