Ashkan Allahyari Nik - M.Sc. Student, Department of Civil Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
Fereidoon Moghadas Nejad - Associate Professor, Department of Civil and Environmental Engineering, Amirkabir University, Tehran, Iran

Pavement is an important infrastructure that requires to maintenance andrehabilitation (M&R) activities in the pavement management system (PMS).An important part of PMS is the pavement inspection process. This processconducts for determining the pavement condition index (PCI) and starts fromdividing a network to sections and continues to smaller units as inspectionunits. Surveying all of these is costly and time consuming for transportationagencies. So the strategies for selecting specific number of inspection units assurveyed inspection units are applied for acceptably accurate pavementcondition. In this paper develops genetic algorithm (GA) for determining thepavement condition with optimal number and place of surveyed inspectionunits. The GA with objective function of minimizing the total network error iscoded in an m-file of MATLAB software. To demonstrate the effect ofproposed GA for solving the present problem, a pavement network wasapplied as a case study that is located in district No.16 of Tehran municipality.The results illustrates that the methodology of this research can to present anautomated framework for the pavement inspection process and it helpsmanagers and inspectors for better decision making with minimum error andtime.

Pavement management system, Inspection process, Pavement condition index, Optimal Surveyed inspection units, Genetic algorithm, Maintenance and Rehabilitation