Capacity Analysis for Parallel Runway through Agent-Based Simulation

Authored by Yang Peng, Gao Wei, Sun Jun-Qing

Date Published: 2013

DOI: 10.1155/2013/505794

Sponsors: Chinese National Natural Science Foundation Basic Research Universities Special Fund Operations Board of Education Scientific Research Plan

Platforms: AnyLogic

Model Documentation: UML Other Narrative Flow charts

Model Code URLs: Model code not found

Abstract

Parallel runway is the mainstream structure of China hub airport, runway is often the bottleneck of an airport, and the evaluation of its capacity is of great importance to airport management. This study outlines a model, multiagent architecture, implementation approach, and software prototype of a simulation system for evaluating runway capacity. Agent Unified Modeling Language (AUML) is applied to illustrate the inbound and departing procedure of planes and design the agent-based model. The model is evaluated experimentally, and the quality is studied in comparison with models, created by SIMMOD and Arena. The results seem to be highly efficient, so the method can be applied to parallel runway capacity evaluation and the model propose favorable flexibility and extensibility.

Tags