Synthesis of Information Related to Airport Practices. Topic S07-06. Application of Large Language Models in Enhancing Airport Passenger Experience

Airports today face an increasingly complex landscape characterized by a few challenges, such as operational inefficiencies, fluctuating passenger demands, and the ever-growing need to enhance the customer experience. These challenges are exacerbated by the dynamic nature of air travel, which demands rapid adaptation to changing conditions, whether due to unexpected surges in passenger numbers, shifts in travel patterns, or the need to respond to sudden disruptions. Traditional approaches to managing these issues relied on human inputs, which can cause delays, increased operational costs, and suboptimal passenger experiences. Large Language Models (LLMs) have the ability to interpret diverse forms of user textual inputs and generate contextual responses on demand. By processing vast amounts of data in real-time and efficiently delivering responses, LLMs have the potential to revolutionize the way airports interact with passengers and enhance operational efficiencies. Recognizing this potential, some hub airports, such as Dallas Fort-Worth International Airport and Hartsfield-Jackson Atlanta International Airport, have begun integrating this technology into their operations. However, it remains unclear how the broader airport industry can fully leverage LLMs. The potential costs and risks associated with adopting LLMs have yet to be thoroughly explored. The synthesis aims to provide a better understanding of LLMs and the opportunities they provide to airports. The objective of this synthesis is to document how Large Language Models are being integrated the airport environment.

• Record URL:
  http://apps.trb.org/cmsfeed/TRBNetProjectDisplay.asp?ProjectID=5821
• Supplemental Notes:
  • Contract to a Performing Organization has not yet been awarded.

Language

• English

Project

• Status: Proposed
• Funding: $75,000
• Contract Numbers:

  Project 11-03, Topic S07-06

• Sponsor Organizations:

  Airport Cooperative Research Program (ACRP) Synthesis

  Transportation Research Board
  500 Fifth Street, NW
  Washington, DC    20001

  Federal Aviation Administration

  800 Independence Avenue, SW
  Washington, DC  United States  20591
• Project Managers:

  Christensen, Jordan

• Start Date: 20241125
• Expected Completion Date: 0
• Actual Completion Date: 0

Subject/Index Terms

• TRT Terms: Airport operations; Customer service; Neural networks; Passenger handling
• Subject Areas: Administration and Management; Aviation; Data and Information Technology; Terminals and Facilities;

Filing Info

• Accession Number: 01937336
• Record Type: Research project
• Source Agency: Transportation Research Board
• Contract Numbers: Project 11-03, Topic S07-06
• Files: TRB, RIP
• Created Date: Nov 18 2024 8:38PM