Ivan Garca Vasco Miguel Valero Xavier Prats Luis Delgado Our Work - - PowerPoint PPT Presentation

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Ivan Garca Vasco Miguel Valero Xavier Prats Luis Delgado Our Work - - PowerPoint PPT Presentation

Dec 27, 2023 307 likes •807 views

Ivan Garca Vasco Miguel Valero Xavier Prats Luis Delgado Our Work First steps in the development of agent based simulation framework for Airport Collaborative Agent Based Simulation Framework for Airport Decision Making, following

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Ivan García Vasco

Miguel Valero Xavier Prats Luis Delgado

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Our Work

  • First steps in the development of agent based

simulation framework for Airport Collaborative Decision Making, following EUROCONTROL guidelines.

  • Aiming to study the emerging behaviour of the

system.

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Agent Based Simulation Framework for Airport Collaborative Decision Making

ICRAT ’14 Garcia Vasco, Prats, Valero, Delgado

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Index

  • What is A-CDM?
  • Agent Based Modelling
  • Simulator Structure and Models
  • How does the simulator work?
  • Future works
  • Conclusions

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Agent Based Simulation Framework for Airport Collaborative Decision Making

ICRAT ’14 Garcia Vasco, Prats, Valero, Delgado

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What is A-CDM?

AIRPORT COLLABORATIVE DECISION MAKING

Agent Based Simulation Framework for Airport Collaborative Decision Making

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Airport Collaborative Decision Making basics

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  • Sharing timely and accurate flight, network and

airport data

ICRAT ’14 Garcia Vasco, Prats, Valero, Delgado

  • Improve predictability and efficiency of the system
  • Use

standard systems, procedures and data structure Objectives:

  • Anticipate situations and facilitate better decision

in advance

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CDM in Europe and in the U.S.

CDM in the U.S.

  • Shared decisions between Air

Traffic Providers and the Aircraft Operators

  • Used during Ground Delay

Programs (ATFM)

  • Focus on the improvement of the

assigned delay when airlines do cancellation and substitution

  • Fully implemented and operative

European A-CDM

  • Defined by EUROCONTROL
  • Shared Information between all

the stakeholders involved in airport operations

  • Focus on improve the efficiency

and prediction of Turn-Around process

  • Part of SESAR Master Plan

Agent Based Simulation Framework for Airport Collaborative Decision Making

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ICRAT ’14 Garcia Vasco, Prats, Valero, Delgado

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CDM in Europe and in the U.S.

CDM in the U.S.

  • Shared decisions between Air

Traffic Providers and the Aircraft Operators

  • Used during Ground Delay

Programs (ATFM)

  • Focus on the improvement of the

assigned delay when airlines do cancellation and substitution

  • Fully implemented and operative

European A-CDM

  • Defined by EUROCONTROL
  • Shared Information between all

the stakeholders involved in airport operations

  • Focus on improve the efficiency

and prediction of Turn-Around process

  • Part of SESAR Master Plan

Agent Based Simulation Framework for Airport Collaborative Decision Making

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ICRAT ’14 Garcia Vasco, Prats, Valero, Delgado

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A-CDM Airports

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Fully implemented Airports:

  • Munich
  • Brussels
  • Paris CDG
  • Frankfurt
  • London Heathrow
  • Helsinki
  • Düsseldorf
  • Zurich
  • Oslo

Source: EUROCONTROL webpage (20 may 2014)

ICRAT ’14 Garcia Vasco, Prats, Valero, Delgado

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European A-CDM

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ICRAT ’14 Garcia Vasco, Prats, Valero, Delgado

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A-CDM Implementation

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  • Information Sharing
  • Turn Around Process (Milestone Approach)
  • Variable Taxi Time Calculation
  • Pre-departure Sequence
  • Collaborative Management of FUM
  • CDM in Adverse Conditions

ICRAT ’14 Garcia Vasco, Prats, Valero, Delgado

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Agent Based Simulation Framework for Airport Collaborative Decision Making

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Information Sharing

ICRAT ’14 Garcia Vasco, Prats, Valero, Delgado

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Information Sharing

  • Examples of input data from

the different stakeholders:

ICRAT ’14 Garcia Vasco, Prats, Valero, Delgado

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Milestone Approach

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Turn-Around Process divided in 16 milestones

ICRAT ’14 Garcia Vasco, Prats, Valero, Delgado

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Why develop a simulator?

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  • Simulation framework will help to evaluate the

impact of using different strategies

ICRAT ’14 Garcia Vasco, Prats, Valero, Delgado

  • Actual effect on daily operations of the A-CDM

implementation for a specific airport is hard to quantify

  • Many actors involved with different behaviours

and interactions

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Agent Based Modeling

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Why using ABM?

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  • Stakeholders  Agents modelled independently
  • Example of interaction capturing
  • Arrows  Messages between agents

ICRAT ’14 Garcia Vasco, Prats, Valero, Delgado

  • Important goal: capture the interactions between agents

Part of the complex science

  • Agents run autonomously and interact via messages
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Modelling and Programming

GAIA Methodology

  • Models of Roles and interactions to

define the agents

JADE

  • Framework to implement the agents
  • Java middleware for agent oriented

platforms

  • Communications  FIPA specifications

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ICRAT ’14 Garcia Vasco, Prats, Valero, Delgado

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Simulator Structure and Models

ABM applied to A-CDM

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Garcia Vasco, Prats, Valero, Delgado

Agent Model

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ICRAT ’14

  • A-CDM Agents
  • Software Agents
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Garcia Vasco, Prats, Valero, Delgado

A-CDM Agents

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ICRAT ’14

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ICRAT ’14

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Garcia Vasco, Prats, Valero, Delgado

SIMULATOR Information Sharing graphical interface example

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Garcia Vasco, Prats, Valero, Delgado

Software Agents

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Graphical Interface:

  • Aircraft Data Updates
  • Number of Aircrafts in ACDM

Simulator Output Database:

  • Saves simulation results

Simulator Input:

  • Handles input data
  • Generate initial data for simulation

Milestone Trigger:

  • Starts every milestone in chronological order
  • Responsible of simulation timming
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Communications Model

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ICRAT ’14 Garcia Vasco, Prats, Valero, Delgado

Types of Communications:

1) Start Simulation 2) Start Milestone 3) Update Aircraft Information 4) Broadcast Aircraft Data Info. 5) Update Graphical Interface 6) Update Log File

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How does the simulator work?

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Exchanged Data

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ICRAT ’14

* Inside a message Delays

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Simulator architecture

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Starting the simulation

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Simulator architecture

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Starting the simulation

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Simulator architecture

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During the simulation

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Simulator architecture

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During the simulation

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Simulator architecture

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During the simulation

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Simulator architecture

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During the simulation

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For every Milestone

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Simulator architecture

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Ending the simulation

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ICRAT ’14

Example: Inside milestone 1

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Garcia Vasco, Prats, Valero, Delgado

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ICRAT ’14

Example: Inside milestone 1

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Garcia Vasco, Prats, Valero, Delgado

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ICRAT ’14

Example: Inside milestone 1

Agent Based Simulation Framework for Airport Collaborative Decision Making

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Garcia Vasco, Prats, Valero, Delgado

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ICRAT ’14

Example: Inside milestone 1

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Garcia Vasco, Prats, Valero, Delgado

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ICRAT ’14

Example: Inside milestone 1

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Garcia Vasco, Prats, Valero, Delgado

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ICRAT ’14

Example: Inside milestone 1

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Garcia Vasco, Prats, Valero, Delgado

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ICRAT ’14

Example: Inside milestone 1

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Garcia Vasco, Prats, Valero, Delgado

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ICRAT ’14

Example: Inside milestone 1

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Garcia Vasco, Prats, Valero, Delgado

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ICRAT ’14

Example: Inside milestone 1

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Garcia Vasco, Prats, Valero, Delgado

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ICRAT ’14

Example: Inside milestone 1

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Garcia Vasco, Prats, Valero, Delgado

* Example of Delay

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ICRAT ’14

Example: Inside milestone 1

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Garcia Vasco, Prats, Valero, Delgado

* Example of Delay

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ICRAT ’14

Example: Inside milestone 1

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Garcia Vasco, Prats, Valero, Delgado

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Current status & Future works

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Current Status

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ICRAT ’14

  • 16 Milestones
  • Multi-Aircraft

Output Data Base Flight / Airspace Data CFMU Airport ATC

ABM Simulator

Aircraft Operators Ground Handlings

  • Delay in any

time/milestone

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Output Data Base Flight / Airspace Data CFMU Airport ATC

ABM Simulator

Aircraft Operators Ground Handlings

Future Works

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ICRAT ’14

  • Statistical

distributions

Work

  • n

the reality

  • f

Agent Behaviours!!

  • Realistic data
  • f A-CDM agents
  • Montecarlo

methods

  • Realistic data

for airspace traffic

Output Data Base Flight / Airspace Data CFMU Airport ATC

ABM Simulator

Aircraft Operators Ground Handlings

Noise Noise Noise Noise Noise

Output Data Base Flight / Airspace Data CFMU Airport ATC

ABM Simulator

Aircraft Operators Ground Handlings

Noise Noise Noise Noise Noise n

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Conclusions

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ICRAT ’14 Garcia Vasco, Prats, Valero, Delgado

  • ABM  Suitable to model complex systems like

A-CDM

  • Structure and communications defined for a

simulator framework

  • Real data  needed to be able to calibrate and

validate our models, simulations and results

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Thank you!

Do you have any questions?

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