Artificial neural network-based roughness prediction models for gravel roads considering land use
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geotechnical Engineering and Engineering Geology,Building and Construction,Civil and Structural Engineering,Environmental Engineering,Engineering (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s41062-022-00793-0.pdf
Reference41 articles.
1. Huntington G, Ksaibati K (2009) Annualized road works cost estimates for unpaved roads. J Transp Eng 135(10):702–710
2. Aleadelat W, Wulff S, Ksaibati K (2019) Development of performance prediction models for gravel roads using Markov chains. Am J Civ Eng 7(3):73–81
3. Transportation Information Center at University of Wisconsin-Madison (2002) Pavement Surface Evaluation and Rating-PASER Manual Gravel roads
4. Al-Suleiman (Obaidat), Turki I, and Abu Daoud O (2021) Evaluation of pavement condition of the primary roads in Jordan using SHRP procedure. Jordan J Civ Eng 15(2):305–317
5. Abu Daoud O, Albatayneh O, Forslöf L, Ksaibati K (2021) Validating the practicality of utilising an image classifer developed using TensorFlow framework in collecting corrugation data from gravel roads. Int J Pavement Eng. https://doi.org/10.1080/10298436.2021.1921773
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