A Framework for Network Level Pavement Maintenance Planning for Low Volume Roads

Low volume roads (LVRs) play a pivotal role in the economic development of rural areas especially by providing connectivity for the communities to access markets, education and social needs in an efficient manner. They serve as the link between the local road network to the arterial and collector road network designed at providing accessibility to residential, agricultural or industrial areas. Lack of funding and subjective and ad hoc decision making have resulted in an inefficient utilization of resources in the local road agencies. Lack of a sound analytical process is a major impediment to maintain these roads in cost effective manner under the resource constraints prevalent. Existing pavement management systems (PMSs) require extensive data collection and complex analysis processes, which makes them impractical to be deployed in local agencies. The core attributes of the proposed system are to reduce the data requirements and to simplify the analytical tools, allowing users to customize considering the resource constraints. In this study, a relationship between International Roughness Index (IRI) and relevant distresses for LVRs is established and based on that, a cost estimation model is developed for distress repair. Furthermore, the strategy which provides maximum condition for preventive maintenance is found by using decision tree approach in the network level optimization. A case study illustrated that the use of the proposed PMS provides better overall network condition when compared to conventional decision making for the same budget level.

Language

  • English

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Filing Info

  • Accession Number: 01897737
  • Record Type: Publication
  • ISBN: 9783030486785
  • Files: TRIS
  • Created Date: Oct 28 2023 4:45PM