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International Journal of Pavement Engineering Volume 10, 2009 - Issue 3
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Original Articles

Growth of truck traffic volume for mechanistic-empirical pavement design

Q. Lu University of California, Davis, USACorrespondence[email protected]
,
Y. Zhang University of California, Berkeley, USA
&
J.T. Harvey University of California, Davis, USA
Pages 161-172 | Received 03 Apr 2007, Accepted 21 Apr 2008, Published online: 13 May 2009

Citations (4)

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Read on this site (1)

Kuldeep Kalita & Pabitra Rajbongshi. (2015) Variability characterisation of input parameters in pavement performance evaluation. Road Materials and Pavement Design 16:1, pages 172-185.
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Articles from other publishers (3)

Amirsaman Mahdavian, Alireza Shojaei, Milad Salem, Haluk Laman, Naveen Eluru & Amr A. Oloufa. (2021) A Universal Automated Data-Driven Modeling Framework for Truck Traffic Volume Prediction. IEEE Access 9, pages 105341-105356.
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Rana Haj ChhadeRayane MradLamis HoussamiGhassan Chehab. (2018) Formulation of Traffic Inputs Required for the Implementation of the M-E PDG in Data-Scarce Regions: Lebanon Case Study. Journal of Materials in Civil Engineering 30:9.
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Qing LuYu ZhangJohn T. Harvey. (2009) Estimation of Truck Traffic Inputs for Mechanistic–Empirical Pavement Design in California. Transportation Research Record: Journal of the Transportation Research Board 2095:1, pages 62-72.
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