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Collision Risk Modeling Using Monte-Carlo Simulation

Widjaja, Moeljono (2012) Collision Risk Modeling Using Monte-Carlo Simulation. 3rd International Conferences on Soft Computing, Intelligent System and Information Technology 2012.

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Official URL: http://repository.petra.ac.id/15699/1/Proceeding_F...

Abstract

This paper presents an improved method in estimating air traffic collision risk based on a well-known Reich’s Colli- sion Risk Model. The method focused on lateral separation in line with the introduction of RNP (Required Navigation Performance) / RNAV (Area Navigation) routes in many major airspaces. Implementation of RNP/RNAV routes in some airspace was intended to increase efficiency and capa- city of airspace in order to cope with continual growth of air traffic. The method proposed a decomposition of the Reich’s model into two parts: deterministic and stochastic. The stochastic components were solved using Monte-Carlo Simulation while the deterministic components were calcu- lated from Traffic Sample Data (TSD). Route A576 in In- donesian Flight Information Region (FIR) was used as the object of study in implementing the proposed method.

Item Type: Article
Subjects: 000 Computer Science, Information and General Works > 000 Computer Science, Knowledge and Systems > 003 Systems (Computer Modeling and Simulation)
600 Technology (Applied Sciences) > 620 Engineering > 629 Other Branches of Engineering (Aerospace, Aviation, Astronautics, Robotics)
Divisions: Fakultas Teknik Informatika > Program Studi Informatika
Depositing User: mr admin umn
Date Deposited: 18 Oct 2021 03:15
Last Modified: 18 Oct 2021 03:15
URI: http://kc.umn.ac.id/id/eprint/18832

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