Analysis of the pavement deterioration uncertainty scenarios on pavement maintenance and rehabilitation planning optimization

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

“…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.…”