With limit of budget and time, transportation infrastructure maintenance project decision was needed. Optimization is very important for project decision in the Transportation Infrastructure Management System (TIMS) ?due to its multi objectives and factors. However, it has not been widely used in TIMS due to poor performance of conventional optimization models in calculation speed and practical application. Therefore, finding a way to improve performance of optimization models, a novel bilayer project optimization model according to the process of decision-making in transportation management, including budget allocation and project distribution is proposed in this paper. Moreover, Mix of Dynamic Programming (DP) and Genetic Algorithm (GA) were applied to obtain an effective solution. The findings indicated that, this new optimization method can provide a satisfactory and reasonable network-level maintenance schedule for transportation infrastructure. Also maintenance agencies could decide routine management by this model.
Paper presented at the 34th Annual Southern African Transport Conference 6-9 July 2015 "Working Together to Deliver - Sakha Sonke", CSIR International Convention Centre, Pretoria, South Africa.