
Airport Resource Modelling and Simulation
Code: 108244Credits: 6
| Degree programme | Type | Course |
|---|---|---|
| Aeronautical Management | OP | 4 |
Contact lecturer
- Name :
- Miquel Àngel Piera Eroles
- Email :
- miquelangel.piera@uab.cat
Group languages
You can consult this information at the end of the document.
Prerequisites
It is required a background on optimization and systems simulation
Objectives
The main objective for this subject is to support students to learn fow to formalize the different cause-effect relationships that constitute most operational aeronautic procedures, focussing the modeling efforts on the interaction among the different processes that takes part in the aircraft turnaorund and different phases of flight. Students will analyze the causal models by means of quantitative methods supported by digital simulator, developping scenarios design and state spaces.
This subject is practical oriented, so most supporting material will be practical exercises about real problems in airports, Terminal Manoevring Area and enroute.
Learning outcomes
- CM17 (Prepare opinions or reports based on optimisation models, simulation and quantitative techniques for decision-making processes, systematising, documenting and reflecting the process and mechanisms used.) Prepare opinions or reports based on optimisation models, simulation and quantitative techniques for decision-making processes, systematising, documenting and reflecting the process and mechanisms used.
- CM18 (Propose decisions based on available and contrasted data and analysis tools in the context of the aeronautical industry that are in line with regulatory and ethical frameworks, and the objectives of the organisation. (CT04)) Propose decisions based on available and contrasted data and analysis tools in the context of the aeronautical industry that are in line with regulatory and ethical frameworks, and the objectives of the organisation. (CT04)
- CM19 (Communicate data analysis results clearly and effectively to technical and non-technical audiences.) Communicate data analysis results clearly and effectively to technical and non-technical audiences.
- KM37 (Relate the foundations and components of the modelling and simulation of dynamic systems processes, in general, and in the airport field, in particular.) Relate the foundations and components of the modelling and simulation of dynamic systems processes, in general, and in the airport field, in particular.
Contents
I.- Formal Specification of Models
Topic 1. The Formalism of Colored Petri Nets
Colored Petri Nets
CPN Tools
Arc Expressions
Guards
Dynamics Rules of Colored Petri Nets
Simulation of Causal Models
State Space Analysis
Topic 2. TMA (Terminal Manoeuvring Area) Subsystems: Temporal Interdependencies
Main TMA Subsystems to Consider
Runway Management and Taxiway Typologies
Takeoff and Landing Process
Model for Arrival/Departure Prioritization
Heuristic Design
Uncertainty Modeling
Topic 3. Decision Support Tools in ATM: Spatial Interdependencies
Airspace Management
Strategic, Tactical, and Operational Decision-Making
Conflict Resolution
Conflict-Free Trajectories
Induced Conflicts
Mitigation Mechanisms
Topic 4. Resource Management at an Airport
Uncertainties Affecting Resource Allocation
Gate Assignment Policies
Temporal Constraints
Physical Constraints
Heuristic Design
Topic 5. Aircraft Turnaround
Ground Handling
Precedence Constraints
Critical Path
Resource Scheduling
Topic 6. Supply Chain Management
Actors in the Supply Chain
The Delay Operator: Bullwhip Effect
Competitive Inventory Management
Cooperative Inventory Management
III.- Air Traffic Simulation in BlueSky
Laboratory Exercices
Learning activities and methodology
| Title | Hours | ECTS | Learning outcomes |
|---|---|---|---|
| Practical Exercises | 12 | 0.48 | CM18 |
| Own Work | 25 | 1 | KM37 |
| Master Lectures | 18 | 0.72 | KM37 |
| Applied Lectures | 10 | 0.4 | CM18, CM19 |
| Elaborate practical exercises | 20 | 0.8 | KM37 |
| Implementation of Practical Exercises | 50 | 2 | CM17, CM18, KM37 |
| Supervision practical exercises | 8 | 0.32 | KM37 |
Master lectures
Introduces the basic contents that as a student will need to progress in the topics that make up the program. It also informs about additional documents that the student can use to complement the knowledge taught in the different topics.
Problem Lectures
Resolution and discussion of problems that will allow to consolidate the formalization of causal relationships in airport operations. Students can use AI supporting tools to develope models.
Practical lectures
Sessions with a smaller group of students than in the master lectures. In these sessions, we work with 2 commercial simulation environments that allow us to validate the theoretical concepts, and analyze possible improvements as a group, as well as the design of the mitigation mechanism to avoid the propagation of perturbations.
BLUESKY sessions
6 sessions are programmed, for the development of an air traffic scenario
Assessment
Continuous assessment activities
| Title | Weight | Hours | ECTS | Learning outcomes |
|---|---|---|---|---|
| Air Traffic Simulator exercises in BlueSky | 0,3 | 2 | 0.08 | CM18 |
| Practical exercises of the different topics | 0,7 | 5 | 0.2 | CM17, CM18, CM19, KM37 |
The single assessment system is not foreseen in this subject.
Assessment Criteria
Both the knowledge acquired in relation to the objectives established for the course and the degree to which the intended skills and competences have been developed will be taken into account.
Assessment Activities and Instruments
Exercises and practical assignments carried out throughout the semester (oral presentation and written report). Optionally, a final written examination may be taken.
BlueSky practical assignments: 30%
Causal model exercises in the state space or final written examination: 70%
In the case of a written examination, if the student fails, they will have the opportunity to take a resit examination on the dates established by the Degree Coordination Office.
The dates for continuous assessment activities and assignment submissions will be published on the virtual campus and may be subject to changes for scheduling reasons or in response to unforeseen circumstances. Any such changes will always be communicated through the virtual campus, as this is considered the standard platform for information exchange between lecturers and students.
Assessment Indicators and Grading
The final grade will be based on the exercises or final written examination (70%) and the practical component (30%). To pass the course, students must pass both components independently: theory and practice.
Resit Mechanisms:
For the BlueSky simulation exercises, students must contact the lecturer and will be allowed to submit the exercises a second time. In the case of the practical coursework associated with the course, students may take an examination consisting of a practical exercise.
Students Repeating the Course:
Assessment of the course or module may consist, at the discretion of the lecturer responsible for the course, of a comprehensive assessment test that evaluates the learning outcomes specified in the course guide. In this case, the course grade will correspond to the grade obtained in that comprehensive assessment test.
A student will be considered “Not Assessed” (NA) if they do not attend one of the three assessment activities described.
Honours Distinction (Matrícula de Honor):
The awarding of an Honours Distinction is at the discretion of the teaching staff responsible for the course. UAB regulations state that this distinction may only be awarded to students who obtain a final grade equal to or greater than 9.00. Up to 5% of the total number of enrolled students may be awarded this distinction.
Student Misconduct, Copying and Plagiarism:
Without prejudice to any other disciplinary measures that may be deemed appropriate, any misconduct committed by a student that may lead to an alteration of the grade awarded for an assessment activity will be penalized with a grade of zero. Therefore, copying, plagiarism, cheating, allowing others to copy, or any similar misconduct in any assessment activity will result in that activity being failed with a grade of zero.
Bibliography
Simulation-based case-studies in Logistics: education and applied research.
Y. Merkurev, G. Merkureva, M.A. Piera, T. Guasch
ISBN: 978-1-84882-186-6, SPRINGER, 2009.
Título: Modelado y Simulación: Aplicación a processos logísticos de fabricación y servicios.
Antoni Guasch, Miquel Àngel Piera, Josep Casanovas, Jaume Figueres
ISBN: 84-8301-704-0, Edicions UPC, 2002.
Coloured Petri Nets: Basic Concepts, Analysis Methods and Practical Use. Volume 1,2,3. Jenssen. Springer
ATM-Seminar papers (http://www.atmseminar.org/ )
Software
CPN-Tools (https://cpntools.org/)
SIMIO
BlueSky
Course groups and languages
The information provided is provisional until November 30. After this date, you will be able to consult the language of each group through this link. To access the information, you will need to enter the course CODE
| Type of teaching | Group | Language | Semester | Shift |
|---|---|---|---|---|
| (TE) Theory | 11 | Catalan | first semester | afternoon |
| (PAUL) Classroom practices | 11 | Catalan | first semester | afternoon |
| (PLAB) Practical laboratories | 11 | Catalan | first semester | afternoon |
| (PLAB) Practical laboratories | 12 | English | first semester | afternoon |