Agent-Based Simulation and Modeling of Air Transportation System Using GPS

Abstract

The air transportation and air traffic management system has many complexities as regards the number of the principal elements and parameters and its highly dynamic and variable environment. Moreover, the intelligent agents technology is highly capable of modeling and simulating complex systems and dynamic and variable environments. Therefore, given the great capacities of the intelligent agents, these agents have been recently used to model the transportation systems including the air transportation systems. In this study, agent-based modeling was carried out to simulate the development of an instantaneous information access and control system for the air transportation network considering the presence of GPS systems in all airplanes. Therefore, in the modeling phase, the information on all airplanes, i.e. the mobile agents, or one airplane, including their position, velocity, and instantaneous direction/orientation was available to the user in the modeling phase. Furthermore, finding the best airport quickly for an emergency landing was a goal and it was simulated. Hence, basic modeling of the air transportation system was carried out in the present study to effectively provide for more comprehensive modeling procedures such as the modeling of air traffic control and management systems.