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International Journal of Pavement Engineering Volume 20, 2019 - Issue 2
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Pavement friction management – artificial neural network approach

Shahriar NajafiVirginia Department of Transportation (VDOT), Salem, VA, USACorrespondence[email protected]
,
Gerardo W. FlintschVirginia Tech Transportation Research Institute (VTTI), Blacksburg, VA, USA
&
Seyedmeysam KhaleghianDepartment of Bio-medical Engineering and Mechanics, Virginia Tech, Blacksburg, VA,USA
Pages 125-135 | Received 18 Nov 2016, Accepted 20 Nov 2016, Published online: 14 Dec 2016

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Aksel Seitllari & M. Emin Kutay. (2023) Investigation of the fatigue life relationship among different geometry combinations of the 3-point bending cylinder (3PBC) fatigue test for asphalt concrete. International Journal of Pavement Engineering 24:1.
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Md Tanvir Ahmed Sarkar, Fan Gu, Michael Heitzman & Buzz Powell. (2022) Influence of shotblasting treatment on asphalt pavement performance. International Journal of Pavement Engineering 23:13, pages 4831-4844.
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Articles from other publishers (22)

Yuanjiao Hu, Zhaoyun Sun, Lili Pei, Yuxi Han & Wei Li. (2024) Evaluate asphalt pavement frictional characteristics based on IGWO-NGBoost using 3D macro-texture data. Expert Systems with Applications 242, pages 122786.
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Wencai Zhao, Jiang Zhang, Jinxing Lai, Xinghao Shi & Zexin Xu. (2023) Skid resistance of cement concrete pavement in highway tunnel: A review. Construction and Building Materials 406, pages 133235.
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Uttara Roy, Ahmed Farid & Khaled Ksaibati. (2022) Effects of Pavement Friction and Geometry on Traffic Crash Frequencies: A Case Study in Wyoming. International Journal of Pavement Research and Technology 16:6, pages 1468-1481.
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Túlio Rodrigues Ribeiro & Francisco Heber Lacerda de Oliveira. (2023) Desenvolvimento de modelos de previsão de coeficiente de atrito em pistas de pouso e decolagem brasileiras com Redes Neurais Artificiais. TRANSPORTES 31:2, pages e2792.
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Weibo Shi, Dongyu Niu, Zirui Li & Yanhui Niu. (2023) Effective contact texture region aware pavement skid resistance prediction via convolutional neural network. Computer-Aided Civil and Infrastructure Engineering.
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Tanvi Gupta & Rajesh Kumar. (2023) A novel feed-through Elman neural network for predicting the compressive and flexural strengths of eco-friendly jarosite mixed concrete: design, simulation and a comparative study. Soft Computing.
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Lanruo Zhao, Hongduo Zhao & Juewei Cai. (2023) Tire-pavement friction modeling considering pavement texture and water film. International Journal of Transportation Science and Technology.
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Yuanjiao Hu, Zhaoyun Sun, Yuxi Han, Xueli Hao & Lili Pei. (2022) Pavement Skid Resistance Evaluation Based on Hyperopt-NGBoost Fusion Model Using Non-contact Measurement of 3D Macrotexture Data. Arabian Journal for Science and Engineering 48:4, pages 5507-5524.
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Saket Bral, Patnala Phani Kumar & Tanuj Chopra. (2022) Prediction of International Roughness Index Using CatBooster and Shap Values. International Journal of Pavement Research and Technology.
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Ichiro Kageyama, Yukiyo Kuriyagawa, Tetsunori Haraguchi, Tetsuya Kaneko, Minoru Nishio & Atsushi Watanabe. (2022) Study on Road Friction Database for Traffic Safety: Construction of a Road Friction-Measuring Device. Inventions 7:4, pages 90.
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Shuzhan Xu, Junxin Yang & Changbai Wang. (2022) An Improved Neural Network Model for Enhancing Rutting Depth Prediction. The Baltic Journal of Road and Bridge Engineering 17:3, pages 120-145.
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Fan Gu, Davide Lo Presti, Michael Heitzman, Buzz Powell & Vincent Allison. (2022) Feasibility of using more polishable aggregates in dense-graded asphalt surface mixture: Case study of dolomite. Construction and Building Materials 342, pages 127915.
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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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Maria Pomoni. (2022) Exploring Smart Tires as a Tool to Assist Safe Driving and Monitor Tire–Road Friction. Vehicles 4:3, pages 744-765.
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Guangyuan ZhaoYi JiangShuo LiSusan Tighe. (2022) Exploring implicit relationships between pavement surface friction and vehicle crash severity using interpretable extreme gradient boosting method. Canadian Journal of Civil Engineering 49:7, pages 1206-1219.
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Alaa Elkhazindar, Marwan Hafez & Khaled Ksaibati. (2022) Incorporating Pavement Friction Management into Pavement Asset Management Systems: State Department of Transportation Experience. CivilEng 3:2, pages 541-561.
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Mezgeen Rasol, Franziska Schmidt, Silvia Ientile, Lucas Adelaide, Boumediene Nedjar, Malal Kane & Christophe Chevalier. (2021) Progress and Monitoring Opportunities of Skid Resistance in Road Transport: A Critical Review and Road Sensors. Remote Sensing 13:18, pages 3729.
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Ramin Khafajeh, Mohsen Shamsaei, Hosein Ghasemzadeh TehraniSaid M. Easa. (2021) Proposing Load Transfer Efficiency as Criterion for Repairing Longitudinal and Transverse Cracks of Asphalt Pavements. Journal of Transportation Engineering, Part B: Pavements 147:3.
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Heriberto Pérez-Acebo, Hernán Gonzalo-Orden, Daniel J. Findley & Eduardo Rojí. (2020) A skid resistance prediction model for an entire road network. Construction and Building Materials 262, pages 120041.
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Yanyan Liu, Yuanyuan Wang, Xinyi Cai & Xinyi Hu. (2020) The detection effect of pavement 3D texture morphology using improved binocular reconstruction algorithm with laser line constraint. Measurement 157, pages 107638.
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Shui-Hua Wang, Ming Yang, Shuai Liu & Yu-Dong Zhang. 2020. Applied Nature-Inspired Computing: Algorithms and Case Studies. Applied Nature-Inspired Computing: Algorithms and Case Studies 129 150 .
Guangwei YangQiang Joshua LiYou ZhanYue FeiAonan Zhang. (2018) Convolutional Neural Network–Based Friction Model Using Pavement Texture Data. Journal of Computing in Civil Engineering 32:6.
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