Highway is one of the infrastructures that support economic growth in an area. It is necessary to ensure that the highways are always in an acceptable condition to provide comfortable and safe journeys for all users. This could be done by maintaining and rehabilitating the pavement at the right time, before the pavement is too damaged. To do this, road agencies require an accurate budget and action plan to be developed ahead as pavement deterioration that occurs earlier than the planned rehabilitation becomes an urgent problem that requires immediate response. This research study aims to develop a preliminary pavement deterioration model to be able to predict the pavement quality in the coming years, and hence the road maintenance plan could be prepared as accurate as possible. The data used in this research was obtained from Tangerang-Merak Toll Road, Indonesia and the data collected to develop the model includes International Roughness Index (IRI), Equivalent Standard Axle Load (ESAL), traffic volume, traffic composition, pavement age, and history of maintenance and rehabilitation of pavement. Using the Solver software, the relationship between parameters were determined and optimized, and it was found that the pavement condition, as represented by the IRI value, can be best described by the pavement age. The pavement deterioration model developed for the road section used in this study was IRI = 0.0906Age + 3.1240.