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Transportation Letters
The International Journal of Transportation Research
Volume 5, 2013 - Issue 3
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Original Article

WIM data quality and its influence on predicted pavement performance

R TarefderDepartment of Civil EngineeringUniversity of New Mexico, MSC 01 1070, Albuquerque, New Mexico 87131, USACorrespondence[email protected]
&
J I Rodriguez-RuizDepartment of Civil EngineeringUniversity of New Mexico, MSC 01 1070, Albuquerque, New Mexico 87131, USA
Pages 154-163 | Received 20 Sep 2012, Accepted 17 Apr 2013, Published online: 18 Nov 2013

Citations (7)

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Read on this site (1)

Qiang Joshua Li, Kelvin C. P. Wang, Guangwei Yang, Jason You Zhan & Yanjun Qiu. (2019) Data needs and implementation of the Pavement ME Design. Transportmetrica A: Transport Science 15:1, pages 135-164.
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Articles from other publishers (6)

Han-Cheng Dan, Chongyu Ling, Zhiheng Zhu, Liansheng Gao & Xiaojun Zeng. (2022) A data fusion approach for estimating traffic distribution characteristics of expressway: A case study of guangdong province, china. Frontiers in Materials 9.
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Steven Wood & Jonathan D. Regehr. (2022) Hierarchical methodology to evaluate the quality of disparate axle load data sources for pavement design. Journal of Traffic and Transportation Engineering (English Edition) 9:2, pages 261-279.
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Narges Tahaei, Jidong J. Yang, Mi Geum Chorzepa, S. Sonny Kim & Stephan A. Durham. (2021) Machine learning of Truck Traffic Classification groups from Weigh-in-Motion data. Machine Learning with Applications 6, pages 100178.
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Cheng Peng, Yi Jiang, Shuo Li & Tommy Nantung. (2021) Neural Network Optimal Model for Classification of Unclassified Vehicles in Weigh-in-Motion Traffic Data. Transportation Research Record: Journal of the Transportation Research Board 2675:7, pages 11-23.
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Md Amanul HasanMd Rashadul IslamRafiqul A. Tarefder. (2016) Clustering Vehicle Class Distribution and Axle Load Spectra for Mechanistic-Empirical Predicting Pavement Performance. Journal of Transportation Engineering 142:11.
Crossref
Rafiqul A. Tarefder & Md Amanul Hasan. 2016. Advances in Human Factors, Software, and Systems Engineering. Advances in Human Factors, Software, and Systems Engineering 13 22 .

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