Forecasting hourly traffic volume: Incheon international airport access road

Abstract

This paper is intended to clarify the relationship between airport access road hourly traffic and airport user trip characteristics. A mathematical model is developed in order to provide a foundation for planning airport facilities and enhancing existing services. From the results, it can be concluded that a significant relationship exists between airport operation and traffic volume in airport access roads. It was found that the proposed model has good prediction capability for traffic volume on the Incheon International Airport Expressway on an hourly basis. This model can be used to predict the number of vehicles queuing at airport entrances, intersections, or toll plazas, predicting optimum toll lane staffing, and analyzing the level of congestion on the roadway for different levels of air passenger demand in the future. (C) 2015 Sharif University of Technology. All rights reserved.