The Prediction of Road Condition Value during Maintenance Based on Markov Process
How to cite (IJASEIT) :
S. Abdelazim, M. El-Hakim, K. Hossain, and M. Volovski, “Pavement Damage Costs by Truck Class and Economy of Scale Relative to Increased Loading,” International Journal of Pavement Engineering, vol. 23, no. 6, 2022, doi: 10.1080/10298436.2020.1832221.
M. Isradi, J. Prasetijo, and N. Hartatik, “Analysis of Pavement Thickness Planning and Overlaying Method on Trans Sumatera Toll Road , Pekanbaru – Dumai,” in Proceedings of the International Conference on Industrial Engineering and Operations Management Monterrey, Mexico, November 3-5, 2021, 2021, pp. 4161–4171, doi: 10.7250/bjrbe.2021-15.487
M. Isradi, J. Prasetijo, T. S. Aden, and A. I. Rifai, “Relationship of Present Serviceability Index for Flexible and Rigid Pavement in Urban Road Damage Assessment using Pavement Condition Index and International Roughness Index,” in E3S Web of Conferences, EDP Sciences, 2023, p. 3012. doi: 10.1051/e3sconf/202342903012.
M. Isradi, J. Prasetijo, Y. D. Prasetyo, N. Hartatik, and A. I. Rifai, “Prediction of Service Life Base on Relationship between PSI and IRI for Flexible Pavement,” Proceedings on Engineering, vol. 5, no. 2, pp. 267–274, 2023, doi: 10.24874/pes05.02.009
M. Isradi, Z. Arifin, M. I. Setiawan, R. D. Nasihien, and J. Prasetijo, “Traffic Performance Analysis of Unsignalized Intersection Using the Traffic Conflict Parameter Technique,” Sinergi, vol. 26, no. 3, p. 397, 2022, doi: 10.22441/sinergi.2022.3.015.
J. Prasetijo et al., “Crash Model Based on Integrated Design Consistency with Low Traffic Volumes (due to Health Disaster (COVID-19)/ Movement Control Order),” Innovative Infrastructure Solutions, vol. 6, no. 1, p. 22, 2021, doi: 10.1007/s41062-020-00388-7.
A. Pantuso, G. W. Flintsch, S. W. Katicha, and G. Loprencipe, “Development of Network-Level Pavement Deterioration Curves Using the Linear Empirical Bayes Approach,” International Journal of Pavement Engineering, vol. 22, no. 6, 2021, doi:10.1080/10298436.2019.1646912.
F. Elsaid, L. Amador-Jimenez, and A. Mazaheri, “Estimating Layers’ Structural Coefficients for Flexible Pavements in Costa Rica Road’s Network Using Full Bayesian Markov Chain Monte Carlo Approach,” International Journal of Pavement Research and Technology, vol. 16, no. 3, 2023, doi: 10.1007/s42947-022-00160-3.
H. Huang, Z. Zhou, M. Liu, Q. Wu, G. Hu, and J. Cao, “High-Precision Volume Measurement of Potholes in Pavement Maintenance,” Math Probl Eng, vol. 2022, 2022, doi: 10.1155/2022/9157849.
B. Rulian, Y. Hakan, S. Salma, M. J. Zul Fahmi, and N. Yacoub, “Performance Model Development for Flexible Pavements via Neural Networks,” in International Conference on Transportation and Development 2022: Application of Emerging Technologies - Selected Papers from the Proceedings of the International Conference on Transportation and Development 2022, 2022. doi:10.1061/9780784484357.007.
J. A. Mills and O. Parent, “Bayesian Markov Chain Monte Carlo Estimation,” in Handbook of Regional Science: Second and Extended Edition: With 238 Figures and 78 Tables, 2021. doi: 10.1007/978-3-662-60723-7_89.
P. Duckworth, H. Yasarer, and Y. Najjar, “Evaluation of Flexible Pavement Performance Models in Mississippi: A Neural Network Approach,” in Lecture Notes in Civil Engineering, 2022. doi:10.1007/978-3-030-77230-7_15.
D. Vallès-Vallès and C. Torres-Machi, “Deterioration of Flexible Pavements Induced by Flooding: Case Study Using Stochastic Monte Carlo Simulations in Discrete-Time Markov Chains,” Journal of Infrastructure Systems, vol. 29, no. 1, 2023, doi: 10.1061/jitse4.iseng-2109.
T. Tasmin, D. Richards, H. Dia, and J. Wang, “Development and evaluation of relationships between surface condition rating and objective pavement condition parameters,” International Journal of Pavement Engineering, 2021, doi: 10.1080/10298436.2021.1894421.
K. A. Abaza, “Simplified Markovian-Based Pavement Management Model for Sustainable Long-Term Rehabilitation Planning,” Road Materials and Pavement Design, vol. 24, no. 3, 2023, doi:10.1080/14680629.2022.2048055.
K. A. Abaza, “Empirical-Markovian Approach for Estimating the Flexible Pavement Structural Capacity: Caltrans Method as a Case Study,” International Journal of Transportation Science and Technology, vol. 10, no. 2, 2021, doi: 10.1016/j.ijtst.2020.12.007.
A. A. Angelo, K. Sasai, and K. Kaito, “Assessing Critical Road Sections: A Decision Matrix Approach Considering Safety and Pavement Condition,” Sustainability (Switzerland), vol. 15, no. 9, 2023, doi: 10.3390/su15097244.
S. Saride, P. R. T. Peddinti, and B. M. Basha, “Application of Data Handling Techniques to Predict Pavement Performance,” in Handbook of Statistics, vol. 44, 2021. doi:10.1016/bs.host.2020.07.001.
B. Wei, C. Guo, and M. Deng, “An Innovation of the Markov Probability Model for Predicting the Remaining Service Life of Civil Airport Rigid Pavements,” Materials, vol. 15, no. 17, 2022, doi:10.3390/ma15176082.
J. L. M. de Oliveira, G. Davis, A. Khani, and M. Marasteanu, “Heterogeneous Markov Chain Model to Predict Pavement Performance and Deterioration,” Transp Res Rec, vol. 2676, no. 9, 2022, doi: 10.1177/03611981221088222.
S. Alimoradi, A. Golroo, and S. M. Asgharzadeh, “Development of Pavement Roughness Master Curves using Markov Chain,” International Journal of Pavement Engineering, vol. 23, no. 2, 2022, doi: 10.1080/10298436.2020.1752917.
S. Shrestha and R. Khadka, “Assessment of Relationship between Road Roughness and Pavement Surface Condition,” Journal of Advanced College of Engineering and Management, vol. 6, pp. 177–185, 2021, doi: 10.3126/jacem.v6i0.38357.
N. Widyaningsih and O. Daniel, “Analisis Karakteristik Dan Perilaku Penyeberangan Orang Pada Fasilitas Penyeberangan Zebra Cross Dan Pelican Cross (Studi Kasus Ruas Jalan M. H. Thamrin),” Jurnal Pengembangan Rekayasa dan Teknologi, vol. 15, no. 1, p. 27, 2019, doi: 10.26623/jprt.v15i1.1486.
Y. Zhu, J. Chen, K. Wang, Y. Liu, and Y. Wang, “Research on Performance Prediction of Highway Asphalt Pavement Based on Grey–Markov Model,” in Transportation Research Record, vol. 2676, no. 4, 2022. doi: 10.1177/03611981211057527.
M. Isradi, P. Molina, A. I. Rifai, A. Mufhidin, and J. Prasetijo, “Evaluation of Performance and Services of Integrated Transportation System ( Case Study : Connecting Line between MRT Dukuh Atas Station and KRL Sudirman Station ),” Proceedings of the International Conference on Industrial Engineering and Operations Management, pp. 496–507, 2021, doi: 10.7250/bjrbe.2021-15.487.
L. Zhang, W. Gu, Y. J. Byon, and J. Lee, “Condition-Based Pavement Management Systems Accounting for Model Uncertainty and Facility Heterogeneity with Belief Updates,” Transp Res Part C Emerg Technol, vol. 148, 2023, doi: 10.1016/j.trc.2023.104054.
H. Dwiatmoko, M. Isradi, J. Prasetijo, and A. Hamid, “Comparative Study of the Passenger’s Satisfaction with Regional Rail Transport in Indonesia and Malaysia,” European Journal of Science, Innovation and Technology, vol. 2, no. 2, pp. 32–40, 2022, doi:10.1016/j.trc.2023.104054.
Y. D. Prasetyo, M. Isradi, and N. Hartatik, “Analisis Penilaian Kondisi Kerusakan Jalan Dengan Metode International Roughness Index Dan Pavement Condition Index Pada Ruas Jalan Panglima Sudirman Kabupaten Tuban,” Jurnal EXTRAPOLASI, vol. 18, no. 02, pp. 39–51, 2021, doi: 10.30996/extrapolasi.v18i2.6021
W. Chen and M. Zheng, “Multi-Objective Optimization for Pavement Maintenance and Rehabilitation Decision-Making: a Critical Review and Future Directions,” Automation in Construction, vol. 130. 2021. doi: 10.1016/j.autcon.2021.103840.
Direktorat Jendral Bina Marga, Buku Kondisi Jalan Nasional 2020. Jakarta, 2020.
Direktorat Jendral Bina Marga, Pedoman Kapasitas Jalan Indonesia. 2023.
DGH, “National Road Condition West Java,” 2020.
R. Imam, Y. Murad, I. Asi, and A. Shatnawi, “Predicting Pavement Condition Index from International Roughness Index using Gene Expression Programming,” Innovative Infrastructure Solutions, vol. 6, no. 3, 2021, doi: 10.1007/s41062-021-00504-1.
Y. Astor, Y. Nabesima, R. Utami, A. V. R. Sihombing, M. Adli, and M. R. Firdaus, “Unmanned Aerial Vehicle Implementation for Pavement Condition Survey,” Transportation Engineering, vol. 12, 2023, doi: 10.1016/j.treng.2023.100168.
M. Isradi, J. Prasetijo, N. Hartatik, Z. Abidin, and Z. Arifin, “Analysis of Urban Road Damage Assessment Using Surface Distress Index (SDI), Pavement Condition Index (PCI), and International Roughness Index (IRI) Methods.,” RIGEO • Review of International Geographical Education, vol. 11, no. 2, pp. 699–715, 2021, doi:10.33403/rigeo.
T. Paz e Albuquerque, R. Almeida de Melo, L. M. Bezerra de Morais, L. Quintino Lira Oliveira, and A. Cirne de Azevedo Filho, “Development of a Flexible Pavement Condition Index for Urban Road Network,” TRANSPORTES, vol. 30, no. 2, 2022, doi:10.14295/transportes.v30i2.2553.
J. Zhao, H. Wang, P. Lu, and J. Chen, “Mechanistic–Empirical Analysis of Pavement Performance Considering Dynamic Axle Load Spectra Due to Longitudinal Unevenness,” Applied Sciences (Switzerland), vol. 12, no. 5, 2022, doi: 10.3390/app12052600.
J. J. Ortiz-García, S. B. Costello, and M. S. Snaith, “Derivation of Transition Probability Matrices for Pavement Deterioration Modeling,” J Transp Eng, vol. 132, no. 2, pp. 141–161, 2006, doi: 10.1061/(ASCE)0733-947X(2006)132:2(141)
K. A. Abaza, “Simplified Markovian-based pavement management model for sustainable long-term rehabilitation planning,” Road Materials and Pavement Design, vol. 24, no. 3, 2023, doi:10.1080/14680629.2022.2048055.
A. S. Sati, S. Abu Dabous, and W. Zeiada, “Pavement Deterioration Model Using Markov Chain and International Roughness Index,” in IOP Conference Series: Materials Science and Engineering, 2020. doi: 10.1088/1757-899X/812/1/012012.
![Creative Commons License](http://i.creativecommons.org/l/by/4.0/88x31.png)
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).