Building Software Agents for Planning, Monitoring, and Optimizing Travel

Abstract

Planning and executing a trip requires assembling a wide variety of interacting information from a large number of sources, including information on flight schedules and prices, hotel locations and reviews, ground transportation options, weather conditions, airport delays, flight cancellations, etc. Much of this information is now available on the Internet and it can be used to enable travelers to better plan and execute their trips. This paper describes the use of software agents for extracting, integrating and mining online data sources to improve the ability to plan, monitor, and optimize travel. These agents can dynamically extract data from online travel sources, integrate this data to support interactive travel planning, continuously monitor all aspects of a trip to ensure a trip goes smoothly, and exploit data mining to make predictions that can either save a traveler money or improve the likelihood of a successful trip.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2004
Accession Number
ADA537718

Entities

People

  • Craig Knoblock

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Autonomy
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Artificial Intelligence Software
  • Computer Languages
  • Computer Science
  • Data Mining
  • Databases
  • Information Science
  • Information Systems
  • Land Transportation
  • Machine Learning
  • Network Science
  • Networks
  • Software Agents
  • Supervised Machine Learning
  • Transportation
  • Websites

Fields of Study

  • Computer science

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Government Contracting/Procurement.
  • Systems Analysis and Design

Technology Areas

  • AI & ML