Abstract
This paper addresses a model to determine the optimal size and location of logistics terminals which are planned together with interchanges of expressways around large cities. This model uses the queuing theory and nonlinear programming and explicitly takes into account the traffic conditions of road networks. Genetic algorithms are adopted to rapidly obtain the approximate solution for large scale nonlinear optimization problems. The model is successfully applied to an actual road network in the Kyoto-Osaka area. Three objective functions are considered, such as the total costs, the emission of CO2 and the total travel time costs, and the calculated results are examined in detail.
