Pavement Condition Assessment Using Pavement Condition Index and Multi-Criteria Decision-Making Model

Journal Title: Mechatronics and Intelligent Transportation Systems - Year 2022, Vol 1, Issue 1

Abstract

Road maintenance is essential to the growth of the transportation infrastructure and, thereby, has a big impact on a nation's overall economic stability and prosperity. It is impossible to simultaneously monitor and maintain the entire network. As a result, transportation authorities are eager to develop scientific foundations for assessing the importance of maintenance tasks within the network of roads. Hence, pavement assessment methods are needed to establish the priorities and achieving the most convenient level of service. In this study, a road stretch was assessed using the sixteen criteria in the Distress Identification Manual for pavement defects, using pavement condition index (PCI) and multi-criteria decision-making models (MCDM). The two methods were compared to determine the possibility of using MCDM. The study came to the conclusion that MCDM is reliable in assessing pavement performance because both methods indicated that the road pavement is deteriorating.

Authors and Affiliations

Omar Elmansouri, Abdulaziz Alossta, Ibrahim Badi

Keywords

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  • EP ID EP731777
  • DOI https://doi.org/10.56578/mits010107
  • Views 73
  • Downloads 0

How To Cite

Omar Elmansouri, Abdulaziz Alossta, Ibrahim Badi (2022). Pavement Condition Assessment Using Pavement Condition Index and Multi-Criteria Decision-Making Model. Mechatronics and Intelligent Transportation Systems, 1(1), -. https://europub.co.uk/articles/-A-731777