Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/65257
Title: Report on industrial orientation with Defence Science & Technology Agency (DSTA)
Authors: Lin, Jian Kai
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2014
Abstract: With the global increase in the demand of air transport, more air planes are being deployed and this has escalated the complexity of air traffic across the continents. Therefore, it is becoming necessary to model and study the air traffic to provide insightful information for informed decision making through simulations. However, the available air traffic simulators are commercialized and too costly for educational purposes. Thus, the purpose of this project is to explore and evaluate open source platforms that can be potentially used for air traffic simulation. It is observed that there are a few well established open source simulators for land traffic simulation and none for air traffic. Therefore, a combination of popular land traffic simulators and framework such as SUMO, OMNET++, and VEINS are chosen to be explored, modified, tested, and evaluated for the feasibility of air traffic simulation. The observations acquired has justified that OMNET++ will be a good candidate to support air traffic simulation and SUMO is not suitable to visualize 3D environment. This leads to the need for further research in open source programs such as NASA World Wind and Google Earth for 3D visualization which can be integrated with OMNET++ to form a complete air traffic simulator. It is discovered that such project has been initiated by The Institute of Communications and Navigations at the German Aerospace Centre (DLR) in September 2007 but it has yet to update the progress of the project since then.
URI: http://hdl.handle.net/10356/65257
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
SCE_Lin Jian Kai.pdf
  Restricted Access
639.53 kBAdobe PDFView/Open

Page view(s) 20

474
Updated on Dec 1, 2020

Download(s) 50

87
Updated on Dec 1, 2020

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.