Probabilistic methods for air traffic demand forecasting

AIAA Guidance, Navigation, and Control Conference and Exhibit

Volumn , Issue , 2002, Pages

  Meyn, Larry A ^a  

^a NASA AMES RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AIR TRAFFIC CONTROL; AIRCRAFT; AIRPORTS; AVIATION; INTELLIGENT SYSTEMS; MONTE CARLO METHODS; UNCERTAINTY ANALYSIS;

AIR TRAFFIC MANAGEMENT; AIRPORT ARRIVAL RATE; ARRIVAL TIME PREDICTIONS; DEMAND FORECASTING; DETERMINISTIC DEMAND; DETERMINISTIC METHODS; LOCATION PREDICTION; PROBABILISTIC METHODS;

FORECASTING;

EID: 85088760877     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2514/6.2002-4766     Document Type: Conference Paper

References (6)

1. FAA, Order 7210.3R Facility Operation and Administration, Chapter 17, Part 5, July 12, 2001.
2. Gilbo, E. and McCabe, L., Relative Accuracy of CDM and ETMS in Predicting Airport Arrival Demand, DOT-VNTSC-FAA-99-12, Volpe National Transportation Systems Center, September 1995.
3. Feldman, R. M. and Vladez-Flores, C., Applied Probability and Stochastic Processes, PWS Publishing Company, Boston, 1996.
4. rd ed., Springer-Verlag, New York, 1998.
5. Erzberger, H., "CTAS: Computer Intelligence for Air Traffic Control in the Terminal Area," NASA TM-103959, National Aeronautics and Space Administration, July 1992.
6. Heere, K. and Zelenka, R., "A Comparison of Center/TRACON Automation System and Airline Time of Arrival Predictions," NASA TM-2000-209584, National Aeronautics and Space Administration, February 2000.