Advanced search
Publication Cover
International Journal of Pavement Engineering Volume 19, 2018 - Issue 1
Submit an article Journal homepage
589
Views
12
CrossRef citations to date
0
Altmetric
Articles

Risk based probabilistic pavement deterioration prediction models for low volume roads

Susan RoseDepartment of Civil Engineering, College of Engineering Trivandrum, Trivandrum, IndiaCorrespondence[email protected]
,
Binu Sara MathewDepartment of Civil Engineering, College of Engineering Trivandrum, Trivandrum, India
,
Kuncheria P. IsaacA P J Abdul Kalam Technological University (CET Campus), Trivandrum, India
&
A. S. AbhayaDepartment of Civil Engineering, Mar Baselios College of Engineering & Technology, Trivandrum, Kerala, India
Pages 88-97 | Received 20 Nov 2015, Accepted 02 Mar 2016, Published online: 27 Mar 2016

Citations (12)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (2)

Shamsuddin Daulat, Marius Møller Rokstad, Alex Klein-Paste, Jeroen Langeveld & Franz Tscheikner-Gratl. (2022) Challenges of integrated multi-infrastructure asset management: a review of pavement, sewer, and water distribution networks. Structure and Infrastructure Engineering 0:0, pages 1-20.
Read now
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.
Read now

Articles from other publishers (10)

Krishna Singh Basnet, Jagat Kumar Shrestha & Rabindranath Shrestha. (2023) Pavement performance model for road maintenance and repair planning: a review of predictive techniques. Digital Transportation and Safety 0:0, pages 1-14.
Crossref
Wenya Ye, Rui Zhang & Qun Yang. (2022) A Consistency Evaluation Method of Pavement Performance Based on K-Means Clustering and Cumulative Distribution. Applied Sciences 13:1, pages 106.
Crossref
Hussaini Jaafaru & Bismark Agbelie. (2022) Bridge Maintenance Planning Framework Using Machine Learning, Multi-Criteria Decision Analysis and Evolutionary Optimization Models. Automation in Construction 143, pages 104585.
Crossref
Hussaini Jaafaru & Bismark Agbelie. (2022) Bridge maintenance planning framework using machine learning, multi-attribute utility theory and evolutionary optimization models. Automation in Construction 141, pages 104460.
Crossref
Yongze Song, Peng Wu, Daniel Gilmore & Qindong Li. (2021) A Spatial Heterogeneity-Based Segmentation Model for Analyzing Road Deterioration Network Data in Multi-Scale Infrastructure Systems. IEEE Transactions on Intelligent Transportation Systems 22:11, pages 7073-7083.
Crossref
Ling Yu, Lingyun You, Huaizhi Zhang, Siyu Jia, Yitong Zhang, Ting Zhao & Kezhen Yan. (2021) Long-term performance deterioration models for semi-rigid asphalt pavement in cold region. International Journal of Pavement Research and Technology 14:6, pages 697-707.
Crossref
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.
Crossref
Subitha P. SudhanBinu Sara MathewSusan Rose & Kuncheria P. Isaac. (2020) Development of Pavement Deterioration Prediction Models for Low Volume Roads Using System Dynamics. Journal of Transportation Engineering, Part B: Pavements 146:3, pages 05020001.
Crossref
Susanna AlbertiFederico Fiori. (2019) Integrating Risk Assessment into Pavement Management Systems. Journal of Infrastructure Systems 25:1.
Crossref
Ahmad Alhasan, Ayman Ali, Daniel Offenbacker, Omar Smadi & Colin Lewis-Beck. (2018) Incorporating spatial variability of pavement foundation layers stiffness in reliability-based mechanistic-empirical pavement performance prediction. Transportation Geotechnics 17, pages 1-13.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.