• Skip to main content
  • Skip to primary sidebar
AAAI

AAAI

Association for the Advancement of Artificial Intelligence

    • AAAI

      AAAI

      Association for the Advancement of Artificial Intelligence

  • About AAAIAbout AAAI
    • AAAI Officers and Committees
    • AAAI Staff
    • Bylaws of AAAI
    • AAAI Awards
      • Fellows Program
      • Classic Paper Award
      • Dissertation Award
      • Distinguished Service Award
      • Allen Newell Award
      • Outstanding Paper Award
      • Award for Artificial Intelligence for the Benefit of Humanity
      • Feigenbaum Prize
      • Patrick Henry Winston Outstanding Educator Award
      • Engelmore Award
      • AAAI ISEF Awards
      • Senior Member Status
      • Conference Awards
    • AAAI Resources
    • AAAI Mailing Lists
    • Past AAAI Presidential Addresses
    • Presidential Panel on Long-Term AI Futures
    • Past AAAI Policy Reports
      • A Report to ARPA on Twenty-First Century Intelligent Systems
      • The Role of Intelligent Systems in the National Information Infrastructure
    • AAAI Logos
    • News
  • aaai-icon_ethics-diversity-line-yellowEthics & Diversity
  • Conference talk bubbleConferences & Symposia
    • AAAI Conference
    • AIES AAAI/ACM
    • AIIDE
    • IAAI
    • ICWSM
    • HCOMP
    • Spring Symposia
    • Summer Symposia
    • Fall Symposia
    • Code of Conduct for Conferences and Events
  • PublicationsPublications
    • AAAI Press
    • AI Magazine
    • Conference Proceedings
    • AAAI Publication Policies & Guidelines
    • Request to Reproduce Copyrighted Materials
  • aaai-icon_ai-magazine-line-yellowAI Magazine
    • Issues and Articles
    • Author Guidelines
    • Editorial Focus
  • MembershipMembership
    • Member Login
    • Developing Country List
    • AAAI Chapter Program

  • Career CenterCareer Center
  • aaai-icon_ai-topics-line-yellowAITopics
  • aaai-icon_contact-line-yellowContact

Home / Proceedings / Papers from the 2000 AAAI Fall Symposium / fall-2000-03

Developing Intelligent Agents to Support Air Traffic Control

March 14, 2023

Download PDF

Authors

Johnny K. L. Yuen and Alonso Vera

DOI:


Abstract:

The main goal of this project is to increase the efficiency of and ease file pressure on air-traffic controllers by creating software intelligent agents to provide real-time assistance wifil their work. To build an intelligent agent we have first conducted a task analysis on the work of air traffic control in order to establish a model of the task. Two separate hours of air traffic control operations were video taped and analyzed in detail. One was a relatively normal hour whereas the other was during a heavy rainstorm that significantly affected the flow of air traffic. Interestingly, the main characteristic of the rainstorm hour was its nonroutineness, while the normal hour showed a consistent and regular interplay between the goals of efficiency and safety. Based on file outcome of file task analysis we can begin to assess and diagnose situations where air traffic controllers are more likely to experience cognitive overload. This model will be the reference for building an intelligent agent to airport ATC activities.

Topics: Fall

Primary Sidebar

HOW TO CITE:

Johnny K. L. Yuen and Alonso Vera Developing Intelligent Agents to Support Air Traffic Control Papers from the 2000 AAAI Fall Symposium (2000) .

Johnny K. L. Yuen and Alonso Vera Developing Intelligent Agents to Support Air Traffic Control Fall 2000, .

Johnny K. L. Yuen and Alonso Vera (2000). Developing Intelligent Agents to Support Air Traffic Control. Papers from the 2000 AAAI Fall Symposium, .

Johnny K. L. Yuen and Alonso Vera. Developing Intelligent Agents to Support Air Traffic Control. Papers from the 2000 AAAI Fall Symposium 2000 p..

Johnny K. L. Yuen and Alonso Vera. 2000. Developing Intelligent Agents to Support Air Traffic Control. "Papers from the 2000 AAAI Fall Symposium". .

Johnny K. L. Yuen and Alonso Vera. (2000) "Developing Intelligent Agents to Support Air Traffic Control", Papers from the 2000 AAAI Fall Symposium, p.

Johnny K. L. Yuen and Alonso Vera, "Developing Intelligent Agents to Support Air Traffic Control", Fall, p., 2000.

Johnny K. L. Yuen and Alonso Vera. "Developing Intelligent Agents to Support Air Traffic Control". Papers from the 2000 AAAI Fall Symposium, 2000, p..

Johnny K. L. Yuen and Alonso Vera. "Developing Intelligent Agents to Support Air Traffic Control". Papers from the 2000 AAAI Fall Symposium, (2000): .

Johnny K. L. Yuen and Alonso Vera. Developing Intelligent Agents to Support Air Traffic Control. Fall[Internet]. 2000[cited 2023]; .


ISSN:


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

We use cookies on our website to give you the most relevant experience by remembering your preferences and repeat visits. By clicking “Accept All”, you consent to the use of ALL the cookies. However, you may visit "Cookie Settings" to provide a controlled consent.
Cookie SettingsAccept All
Manage consent

Privacy Overview

This website uses cookies to improve your experience while you navigate through the website. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. We also use third-party cookies that help us analyze and understand how you use this website. These cookies will be stored in your browser only with your consent. You also have the option to opt-out of these cookies. But opting out of some of these cookies may affect your browsing experience.
Necessary
Always Enabled
Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.
CookieDurationDescription
cookielawinfo-checkbox-analytics11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional11 monthsThe cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance11 monthsThis cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy11 monthsThe cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.
Functional
Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.
Performance
Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.
Analytics
Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.
Advertisement
Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.
Others
Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet.
SAVE & ACCEPT