Modeling Airside Operations at Major Airports for Strategic Decision Support
Tens of billions of dollars are spent each year worldwide in airport infrastructure to promote safe, efficient, and environmentally friendly operations. Airport layouts, allocations of gates to carriers, and the manner of deploying ground equipment or personnel can dramatically affect passenger delays, fuel consumption, and air and noise pollution. Airport planners require reliable information about how different spheres of airport activity interact and how system performance would change with alterations to physical infrastructure or operating practices. The project developed a discrete-event simulation model that may be used for strategic decisions regarding the provision and effective utilization of infrastructure needed for airside operations at major airports. The project calibrated the model with detailed activity data for an entire year, verified its ability to represent essential spheres of activity, and illustrated its application to study system performance under several operating scenarios.
Language
- English
Project
- Status: Completed
- Funding: $67751
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Contract Numbers:
DTRT13-G-UTC37
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Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 Iowa State University
2711 S Loop Drive, Suite 4700
Ames, IA United States 50010-8664University of Missouri, St. Louis
1 University Boulevard
St. Louis, MO United States 63121-4400Lambert-St.Louis International Airport
10701 Lambert International Boulevard
St. Louis, MO United States 63145-0212 -
Performing Organizations:
University of Missouri, St. Louis
1 University Boulevard
St. Louis, MO United States 63121-4400 -
Principal Investigators:
Smith, L
- Start Date: 20150101
- Expected Completion Date: 20150630
- Actual Completion Date: 20151130
Subject/Index Terms
- TRT Terms: Airport facilities; Airport operations; Airport planning; Airports; Airside operations; Decision making; Decision support systems; Forecasting; Simulation
- Subject Areas: Administration and Management; Aviation; Operations and Traffic Management; Planning and Forecasting; Terminals and Facilities;
Filing Info
- Accession Number: 01579701
- Record Type: Research project
- Source Agency: Midwest Transportation Center
- Contract Numbers: DTRT13-G-UTC37
- Files: UTC, RIP
- Created Date: Oct 27 2015 11:50AM