چکیده مقاله
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
کلیدواژهها
نویسندگان
Ashkan Allahyari Nik
M Sc Student, Department of Civil Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
فریدون مقدس نژاد
Associate Professor, Department of Civil and Environmental Engineering, Amirkabir University, Tehran, Iran
شیوه ارجاع
Allahyari Nik, Ashkan and Moghadas Nejad, Fereidoon,1394,Application of Genetic Algorithm for Inspection Process in the PMS by Optimal Surveyed Inspection Units,The 14th International Conference on Traffic and Transportation Engineering,Tehran
ارائهشده در
مجموعه مقالات چهاردهمین کنفرانس بین المللی مهندسی حمل و نقل و ترافیک5 اسفند 1393 · تهران