Development of a Vision-Based Landside Traffic Management System for Congestion and Safety Monitoring at Airports

Landside traffic management at airports is crucial for monitoring congestion and safety. Currently, The Port Authority of New York and New Jersey (PANYNJ) currently relies on traditional traffic data collection methods and manual observations from their cameras to monitor landside traffic at the John F. Kennedy (JFK) International Airport. This becomes especially significant given JFK's ongoing $19 billion expansion and its daily service to nearly 62 million passengers. The research team proposes developing an operationalized computer vision-based analytics tool in collaboration with PANYNJ that will leverage JFK's existing cameras and provide real-time traffic data extraction, assisting the Transportation Management Center (PA-TMC) in its decision-making process. Key features include real-time traffic alerts, evaluations of the mobility and safety impacts from frontage modifications, and artificial intelligence (AI)-driven assessments of construction zones. By using JFK as a demonstration, this initiative seeks to enhance the efficiency of airport traffic monitoring, ultimately benefiting the regional economy and improving passenger satisfaction.


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Filing Info

  • Accession Number: 01897926
  • Record Type: Research project
  • Source Agency: Connected Communities for Smart Mobility Towards Accessible and Resilient Transportation for Equitably Reducing Congestion (C2SMARTER)
  • Contract Numbers: 69A3551747124
  • Files: UTC, RIP
  • Created Date: Oct 30 2023 10:36PM