Determine the Optimal Arrangement of Pavement Condition Surveyed Inspection Units using Genetic Algorithm (GA)

Pavement condition index (PCI) is an important index in pavement management that is required toinspection process for estimating it. First step in this process is dividing pavement sections into smallerunits as inspection units. Inspecting all of the units is needed to high cost and time, therefore samplingplan must be somehow inspecting specific number of the inspection units as surveyed inspection units canestimate with the lowest error in PCI. The main purpose of this paper is to use and develop GA forestimating PCI with optimal arrangement of surveyed inspection units. A pavement network as a casestudy was applied for demonstrating the effect of proposed GA. Results of this research can helpmanagers and inspectors for better decision making in inspection process.

کلیدواژه ها:

Pavement Management ، Pavement Condition Index ، Genetic Algorithm ، Surveyed Inspection Units ، Optimal arrangement