Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Graduate School of Sciences
  • Department of Air Traffic Control
  • Master of Science (MS) Degree
  • Course Structure Diagram with Credits
  • Models and Simulation in Air Traffic Management I
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title HTK502 - Models and Simulation in Air Traffic Management I
Course Type Required Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 7.5
Course Instructor(s)
Mode of Delivery Classroom
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended AirTraffic Services, Communication and Navigation Services, Air Transportation Management, Surveillance Systems, Trajectory Analysis and Prediction
Recommended Reading List 1. Kelton W.D., Sadowski R.P. and Sturrock D.t., Simulation with Arena, Mc-Graw Hill, 2003.2. ATAC, Simmod Plus Reference Manual, ATAC Corp, 2010.3. Odoni, A. R., J. Bowman, D. Delahaye, J. J. Deyst, E. Feron, R. J. Hansman, K. Khan, J. J. Kuchar, N. Pujet, and R. Simpson. Existing and Required Modeling Capabilities for Evaluating ATM Systems and Concepts. Final Report to National Aeronautics and Space Administration Ames Research Center, International Center for Air Transportation, March 1997.
Assessment methods and criteria Midterms(2×15%) + HW (30%) + Final Exam (40%)
Work Placement Not Available
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Course Policy ; Basic Concepts: Air Traffic Management System Definition and Elements of ATM System, Capacity concept, Planning and ATC related problems, Classification of Problems and Research Areas
Week - 2 Fundamentals of Simulation and Modeling: Modeling: Systems, Physical models, Logical and mathematical models; History of Simulation; Characteristics of Simulation; Steps of Simulation Study, Types of Simulation in ATM: Real-time simulation, Fast-time simulation; Fast-time Simulation Techniques: Discrete-event Simulation, Monte-Carlo simulation, Continuous simulation
Week - 3 Discrete-Event Simulation Methodology: Time-advance Mechanism; Components of Discrete-Event Simulation; Flow of Control; Queueing Theory; Measures of Performance for Queueing Systems; Sample Systems
Week - 4 Comparison of Airport and Airspace Simulation Tools: Simulation Languages; Classification of Simulation Software: Simulation Languages vs. Simulators; Common Modeling Elements and Desired Features; Domain of Application; Level of Detail; Common Airport and Airspace Simulation Tools: SIMMOD, RAMS, TAAM, CAST
Week - 5 1st MIDTERM EXAM
Week - 6 Introduction to SIMMOD:Terminology; Randomness; Simmod PLUS! directory structure; Network Builder user interface: Controls, Scenes, Data input; Importing graphics: CAD drawing, Images, Coastline
Week - 7 Airport Modeling: Airfield Logic, Airport Layout and Geographical Coordinates, Runway System, Apron and Taxiway System, Initial Climb and Final Approach Paths, Gates and Parking Positions,Input Data: Traffic Data, Aircraft Types, Ground and Air Performance Groups, Occupancy Times, Time and Distance Separations, Runway Procedures
Week - 8 Airport Simulation: Flights, Control Events, Test Runs and Debugging, Experimental Design and Scenario Selection, Production Runs, Reports and Files: cdf2simu, SIMUxx files, Animation of results
Week - 9 Airspace Modeling and Simulation: Modeling: Airspace Logic, Routes, Fixes, Sectors, Terminal Airspace, En-route Airspace, Procedures; Input Data; Traffic Data, Air Performance Groups, Wind Sets, Time and Distance Separations
Week - 10 Capacity and Delay Analysis: Airport Operation Capacity: Departure, Arrival and Mixed Capacities¸ Traffic Mix, Operation Mix; Ground Delays, Air Delays, Departure Queue Lengths, Utilization, Congestion Points, Ground Traveling Times, Fuel Consumption, Airspace Operation Metrics: Use of routes, sectors and fixes
Week - 11 Verification and Validation of Simulation Models Principles and Perspectives on Validation, Verification of Simulation Models, Statistical Procedures for Actual and Simulation Data: Inspection Approach, Confidence Interval Approach, Time-Series Approach
Week - 12 2nd MIDTERM
Week - 13 Post-Simulation Analysis: Output Data Analysis: Transient and Steady Behavior, Analysis of Steady-State Parameters, Terminating Simulations, Multiple Measures of Performance; Comparison of Alternative System Configurations,
Week - 14 Documentation and Presentation of Results Documentation and Reporting of Results; Presentation and Preservation of Results, Presentation of Animations

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Question & Answer
  • Team/Group Work
  • Demonstration
  • Drill - Practise
  • Problem Solving
  • Report Preparation and/or Presentation
  • Competences
  • Productive
  • True to core values
  • Rational
  • Questoning
  • Creative
  • Work in teams
  • Abstract analysis and synthesis
  • Applying theoretical knowledge into practice
  • Elementary computing skills
  • Decision making

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%) 0
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