Analyzing Stochastic Features in Airport Surface Traffic Flow Using Cellular Automaton: Tokyo International Airport

Author:

Kawagoe Yoshiaki1ORCID,Chino Ryohei1,Tsuzuki Satori2,Itoh Eri3ORCID,Okabe Tomonaga1

Affiliation:

1. Department of Aerospace Engineering, Tohoku University, Sendai, Miyagi, Japan

2. Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan

3. Department of Aeronautics and Astronautics, The University of Tokyo, Tokyo, Japan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference34 articles.

1. A boosted tree framework for runway occupancy and exit prediction;martinez;Proc 8th SESAR Innov Days (SID),2018

2. Auto-generation of centerline graphs from geometrically complex roadmaps of real-world traffic systems using hierarchical quadtrees for cellular automata simulations

3. Analysis of Haneda airport spot information for surface movement control;brown;IEICE Tech Rep,2012

4. Prediction of Runway Occupancy Time and Runway Exit Distance with Feedforward Neural Networks

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