TY - JOUR ID - 2631 TI - Asphalt Pavement Performance Model of Airport Using Microwave Remote Sensing Satellite JO - International Journal of Transportation Engineering JA - IJTE LA - en SN - 2322-259X AU - Suanpaga, Weerakaset AD - Department of Civil Engineering, Faculty of Engineering, Kasetsart University, Bangkok, Thailand Y1 - 2013 PY - 2013 VL - 1 IS - 1 SP - 59 EP - 68 KW - Multi-Objective Optimization KW - traffic assignment KW - Pareto optimal solution KW - user equilibrium KW - system optimization DO - 10.22119/ijte.2013.2631 N2 - The purpose of this study is to build the binary logit model of an airport pavement that could monitor the pavement condition in near real time using microwave remote sensing satellite, then the relationship between the international roughness index (IRI) of an airport and backscattering values from PALSAR images of the ALOS satellite was determined. Total 390 data were used in analysis. This model could be applied to evaluate the efficiency of the quality of running service on the airport pavement. The analysis showed that the backscattering values in the HH and HV polarization have correlated with IRI, and HH polarization was the highest correlation with IRI value (r = 0.90). If the backscattering value in HH polarization was increased, the roughness will be increased. After the validation process on other 100 data, the result presented high correlation at 94.00%. Therefore, these can be concluded that this model could be applied to the airport pavement maintenance. UR - http://www.ijte.ir/article_2631.html L1 - http://www.ijte.ir/article_2631_0f0bc029c90311f95e5bfb9e840bf356.pdf ER -