Strategic Pavement Maintenance and Rehabilitation Analysis of Urban Road Network Using HDM-4

Rejani, V. U.; Janani, L.; Venkateswaralu, Kanchupati; Sunitha, V.; Mathew, Samson

doi:10.1007/s42947-022-00171-0

Cited by 5 publications

(1 citation statement)

References 11 publications

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“…Traffic disruptions need to be considered in the context of the duration of the disruption, the magnitude of the impact, and the number of people affected [51]. Includes additional vehicle operating costs, travel time conversion costs, and traffic accident costs due to traffic disruptions caused by road maintenance [52].…”

Section: Traffic Disruptionmentioning

confidence: 99%

Multi-Attribute Decision-Making Method in Preventive Maintenance of Asphalt Pavement Based on Optimized Triangular Fuzzy Number

Xu,

Wang,

Kang

et al. 2024

Sustainability

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By choosing the right pavement maintenance plan, we can reduce resource utilization, reduce environmental pollution, and extend road life, which is important for improving social sustainability. At present, the selection of road maintenance programs mostly adopts multiple attribute decision-making (MADA), in particular, the analytic hierarchy process (AHP) is often used. However, this method needs to use expert scoring data, which leads to strong subjectivity and poor reliability. Therefore, it reduces the science of road maintenance scheme selection. In order to reduce the subjectivity of the score and obtain a more suitable road maintenance scheme, this paper applies a multi-criteria decision-making method that characterizes attribute information by triangular fuzzy numbers (TFN) in the discrete decision space. Firstly, we invite experts to score the importance of the selection of pavement preventive maintenance technical solutions with respect to the indicators affecting the selection of solutions. Secondly, the two indicators of similarity and reliability are used to quantitatively evaluate the indicators and programs, respectively. Finally, we compare the weighted programs according to the overall possibility degree of each program. In actual cases, the overall possibility degree of each scheme obtained by this method is 1.0002–0.0477, and the optimal solution is fog sealing technology. The decision-making model applied in this paper can be considered in multiple dimensions, which can scientifically reduce the subjectivity of expert scoring. The best maintenance plan can also be quickly obtained through the simple calculation method in this paper.

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Section: Traffic Disruptionmentioning

confidence: 99%