Aircraft Ground-Taxiing Model for Congested Airport Using Cellular Automata

Author

Mori, Ryuhei

Author_Institution

Air Traffic Manage. Dept., Electron. Navig. Res. Inst., Chofu, Japan

Volume

14

Issue

1

fYear

2013

fDate

Mar-13

Firstpage

180

Lastpage

188

Abstract

Efficient airport surface operation is considered key to successful implementation of 4-D trajectories. Here, an airport surface aircraft model is developed to improve simulation accuracy. The new simulation method is developed based on the Nagel-Schreckenberg (NS) model, which is a car congestion model, and it considers the taxiing speed and the time histories of taxiing, particularly for a heavy traffic environment. To validate the model, airport surface surveillance data at Tokyo International Airport are used, and it is proven that the congestion phenomenon is modeled well with an average accuracy of about 30 s.

Keywords

airports; automobiles; cellular automata; road traffic; 4D trajectories; NS model; Nagel-Schreckenberg model; Tokyo International Airport; aircraft ground-taxiing model; airport surface aircraft model; airport surface surveillance data; car congestion model; cellular automata; congested airport; heavy traffic environment; simulation accuracy improvement; time histories; Acceleration; Aircraft; Airports; Atmospheric modeling; Computational modeling; Data models; Mathematical model; Air traffic management; cellular automata (CA); traffic modeling;

fLanguage

English

Journal_Title

Intelligent Transportation Systems, IEEE Transactions on

Publisher

ieee

ISSN

1524-9050

Type

jour

DOI

10.1109/TITS.2012.2208188

Filename

6248222