Citations (14)
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Read on this site (5)
Nahla Alaswadko & Khulood Hwayyis. (2023) An approach to investigate the supplementary inconsistency between time series data for predicting road pavement performance models. International Journal of Pavement Engineering 24:2.
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Tamina Tasmin, David Richards, Hussein Dia & James Wang. (2022) Development and evaluation of relationships between surface condition rating and objective pavement condition parameters. International Journal of Pavement Engineering 23:10, pages 3386-3397.
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Arieh Sidess, Amnon Ravina & Eyal Oged. (2022) A model for predicting the deterioration of the international roughness index. International Journal of Pavement Engineering 23:5, pages 1393-1403.
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Ahmed Abed, Nick Thom & Luis Neves. (2019) Probabilistic prediction of asphalt pavement performance. Road Materials and Pavement Design 20:sup1, pages S247-S264.
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André V. Moreira, Joaquim Tinoco, Joel R. M. Oliveira & Adriana Santos. (2018) An application of Markov chains to predict the evolution of performance indicators based on pavement historical data. International Journal of Pavement Engineering 19:10, pages 937-948.
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Articles from other publishers (9)
Yishun Li, Chenglong Liu, Qian Gao, Difei Wu, Feng Li & Yuchuan Du. (2022) ConTrack Distress Dataset: A Continuous Observation for Pavement Deterioration Spatio-Temporal Analysis. IEEE Transactions on Intelligent Transportation Systems 23:12, pages 25004-25017.
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Baris Salman & Burak Gursoy. (2022) Markov chain pavement deterioration prediction models for local street networks. Built Environment Project and Asset Management 12:6, pages 853-870.
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Qiao Dong, Xueqin Chen, Shi Dong & Fujian Ni. (2022) Data Analysis in Pavement Engineering: An Overview. IEEE Transactions on Intelligent Transportation Systems 23:11, pages 22020-22039.
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Mohamed S. Yamany, Dulcy M. AbrahamSamuel Labi. (2021) Comparative Analysis of Markovian Methodologies for Modeling Infrastructure System Performance. Journal of Infrastructure Systems 27:2.
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Mohamed S. Yamany & Dulcy M. Abraham. (2021) Hybrid Approach to Incorporate Preventive Maintenance Effectiveness into Probabilistic Pavement Performance Models. Journal of Transportation Engineering, Part B: Pavements 147:1, pages 04020077.
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Tamina Tasmin, James Wang, Hussein Dia, David Richards & Quddus Tushar. (2020) A probabilistic approach to evaluate the relationship between visual and quantified pavement distress data using logistic regression. A probabilistic approach to evaluate the relationship between visual and quantified pavement distress data using logistic regression.
B. Moins, C. France, W. Van den bergh & A. Audenaert. (2020) Implementing life cycle cost analysis in road engineering: A critical review on methodological framework choices. Renewable and Sustainable Energy Reviews 133, pages 110284.
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Mohamed El-Khawaga, Sherif El-Badawy & Alaa Gabr. (2020) Comparison of Master Sigmoidal Curve and Markov Chain Techniques for Pavement Performance Prediction. Arabian Journal for Science and Engineering 45:5, pages 3973-3982.
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Heriberto Pérez-Acebo, Sergiu Bejan & Hernán Gonzalo-Orden. (2017) Transition Probability Matrices for Flexible Pavement Deterioration Models with Half-Year Cycle Time. International Journal of Civil Engineering 16:9, pages 1045-1056.
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