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International Journal of Pavement Engineering Volume 22, 2021 - Issue 1
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Articles

Skid resistance deterioration model at the network level using Markov chains

Oscar Daniel Galvis Arcea Department of Civil, Architectural & Environmental Engineering (CAEE), The University of Texas at Austin, Austin, TX, USACorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-9911-9671
ORCID Icon &
Zhanmin Zhangb Clyde E. Lee Endowed Professor in Transportation Engineering, Department of Civil, Architectural & Environmental Engineering (CAEE), The University of Texas at Austin, Austin, TX, USAORCID Iconhttps://orcid.org/0000-0001-7434-9393
ORCID Icon
Pages 118-126 | Received 05 Jul 2018, Accepted 24 Jan 2019, Published online: 18 Feb 2019

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Read on this site (4)

Khaled A. Abaza. (2023) Simplified Markovian-based pavement management model for sustainable long-term rehabilitation planning. Road Materials and Pavement Design 24:3, pages 850-865.
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Khaled A. Abaza. (2023) Stochastic-based pavement rehabilitation model at the network level with prediction uncertainty considerations. Road Materials and Pavement Design 0:0, pages 1-19.
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Oscar Daniel Galvis Arce & Zhanmin Zhang. (2022) Framework to estimate the Benefit–Cost Ratio of establishing minimum pavement friction levels for roadway networks. International Journal of Pavement Engineering 23:7, pages 2135-2147.
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Feng Xiao, Xinyu Chen, Jianchuan Cheng, Shunxin Yang & Yang Ma. (2022) Establishment of probabilistic prediction models for pavement deterioration based on Bayesian neural network. International Journal of Pavement Engineering 0:0, pages 1-16.
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Articles from other publishers (9)

You Zhan, Zhiwei Luo, Xiuquan Lin, Zilong Nie, Qiangsheng Deng, Yanjun Qiu & Tengfei Wang. (2023) Pavement preventive maintenance decision-making for high antiwear and optimized skid resistance performance. Construction and Building Materials 400, pages 132757.
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Aihui Hu, Qiang Bai, Lin Chen, Siyuan Meng, Qihui Li & Zhiman Xu. (2022) A review on empirical methods of pavement performance modeling. Construction and Building Materials 342, pages 127968.
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Yuanjiao Hu, Zhaoyun Sun, Yuxi Han, Wei Li & Lili Pei. (2022) Evaluate Pavement Skid Resistance Performance Based on Bayesian-LightGBM Using 3D Surface Macrotexture Data. Materials 15:15, pages 5275.
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Miao Yu, Yao Kong, Zhanping You, Jue Li, Liming Yang & Lingyun Kong. (2022) Anti-Skid Characteristics of Asphalt Pavement Based on Partial Tire Aquaplane Conditions. Materials 15:14, pages 4976.
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Yinghao MiaoSudi WangFengyan Sun & Jun Yang. (2022) A Laboratory Investigation into the Polishing Behavior of Stone Matrix Asphalt with Different Lithology Types of Coarse Aggregates. Journal of Testing and Evaluation 50:4, pages 20210266.
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Amirreza Mahpour & Tamer El-Diraby. (2022) Application of Machine-Learning in Network-Level Road Maintenance Policy-Making: The Case of Iran. Expert Systems with Applications 191, pages 116283.
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Khaled A. Abaza. (2022) Simplified Exhaustive Search Approach for Estimating the Nonhomogeneous Transition Probabilities for Infrastructure Asset Management. Journal of Infrastructure Systems 28:1.
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Khaled A. Abaza. (2021) Empirical-Markovian approach for estimating the flexible pavement structural capacity: Caltrans method as a case study. International Journal of Transportation Science and Technology 10:2, pages 156-166.
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Taufik Hidayat, D Sianturi Tigor Franky & Rahutomo Mahardiko. (2020) Forecast Analysis of Research Chance on AES Algorithm to Encrypt during Data Transmission on Cloud Computing. Forecast Analysis of Research Chance on AES Algorithm to Encrypt during Data Transmission on Cloud Computing.

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