2023
DOI: 10.1080/10298436.2023.2276160
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Pavement maintenance planning using a risk-based approach and fault tree analysis

Mohammad Shokoohi,
Amir Golroo,
Abdollah Ardeshir
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Cited by 5 publications
(3 citation statements)
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“…However, how to better balance the budget shortfall and maintenance benefits has been continuously explored, and there are a number of excellent research results, such as: a stochastic optimization model applied from two perspectives: the number of good pavement segments and the effect of global warming [4]; a multi-stage stochastic mixed integer planning model that takes into account both budget and pavement deterioration uncertainties [5]; an integer linear programming method using pavement performance as an indicator [6]; MADA using the best-worst method (BWM) and gray correlation analysis (GRA) [7]; combining dynamic programming with traditional genetic algorithms for budget allocation planning of roads [8]; designing models that use a multi-classification machine learning algorithm to predict the type of pavement treatment [9]; maintenance planning based on funding and resources, considering risks and failures [10]; a multi-stage stochastic planning approach that considers parameter uncertainty in pavement maintenance [11] etc. However, the above models consider fewer factors and are less reliable.…”
Section: Of 20mentioning
confidence: 99%
See 1 more Smart Citation
“…However, how to better balance the budget shortfall and maintenance benefits has been continuously explored, and there are a number of excellent research results, such as: a stochastic optimization model applied from two perspectives: the number of good pavement segments and the effect of global warming [4]; a multi-stage stochastic mixed integer planning model that takes into account both budget and pavement deterioration uncertainties [5]; an integer linear programming method using pavement performance as an indicator [6]; MADA using the best-worst method (BWM) and gray correlation analysis (GRA) [7]; combining dynamic programming with traditional genetic algorithms for budget allocation planning of roads [8]; designing models that use a multi-classification machine learning algorithm to predict the type of pavement treatment [9]; maintenance planning based on funding and resources, considering risks and failures [10]; a multi-stage stochastic planning approach that considers parameter uncertainty in pavement maintenance [11] etc. However, the above models consider fewer factors and are less reliable.…”
Section: Of 20mentioning
confidence: 99%
“…So for the j th metric Y j , the total similarity between all schemes and other schemes can be calculated by Equation (10):…”
Section: Similaritymentioning
confidence: 99%
“…Fault tree analysis (FTA) is a special kind of causality diagram [16], which describes the causal relationship between events in a system using logic gates (and gates, or gates, etc.) and prescribed symbols, where the input events of the logic gates are the causes and the output events are the effects [17][18]. Fault tree analysis (FTA) is a class of causal linkage diagrams that use logic gates such as and gates, or gates, etc., and specified symbols to depict the association of all the events in a system; the fault tree starts from an undesired initial event and leads to a series of outcomes based on possible system events [19][20].…”
Section: Introductionmentioning
confidence: 99%