Books on the topic 'Airports Traffic control Mathematical models'

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1

Ozoka, Angus Ifeanyi. Aviation facilities planning, research, and development: A global experience. Lagos, Nigeria: Nigerian Gong Press, 1997.

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2

Air transport system analysis and modelling: Capacity, quality of services and economics. [New York?]: Gordon and Breach Science Publishers, 2000.

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3

Xing, Jing. Reexamination of color vision standards. Washington, D.C: Federal Aviation Administration, Office of Aerospace Medicine, 2006.

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4

Jaehn, Florian. Robust flight gate assignment. Frankfurt am Main: P. Lang, 2008.

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5

Smulders, S. A. Control of freeway traffic flow. Amsterdam, Netherlands: Centrum voor Wiskunde en Informatica, 1996.

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6

D, Griffiths J., ed. Mathematics in transport planning and control: Proceedings of the 3rd IMA International Conference on Mathematics in Transport Planning and Control. Amsterdam: Pergamon, 1998.

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7

Li, Weigang. Computational models, software engineering, and advanced technologies in air transportation: Next generation applications. Hershey, PA: Engineering Science Reference, 2010.

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8

Pedestrian dynamics: Mathematical theory and evacuation control. Boca Raton: Taylor & Francis, 2009.

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9

1958-, Li Weigang, Barros Alexandre de, and Oliveira Ítalo Romani de, eds. Computational models, software engineering, and advanced technologies in air transportation: Next generation applications. Hershey, PA: Engineering Science Reference, 2010.

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10

Kerner, Boris S. Introduction to Modern Traffic Flow Theory and Control: The Long Road to Three-Phase Traffic Theory. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2009.

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11

1949-, Chiesa James, Everingham Susan S, and Drug Policy Research Center (U.S.), eds. Response to the National Research Council's assessment of Rand's Controlling cocaine study. Santa Monica, CA: Rand, 2000.

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12

Gerling, Wilfried. Grundlagen der erwartungsorientierten Konfliktvorhersage im Luftverkehr: Untersuchung des horizontalen Annäherungsverhaltens im Falle vonerwarteten Kursänderungen. Köln: Deutsche Forschungsanstalt für Luft- und Raumfahrt, 1991.

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13

Rydell, C. Peter. Controlling cocaine: Supply versus demand programs. Santa Monica, CA: Rand, 1994.

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14

Williams, David H. Airborne four-dimensional flight management in a time-based air traffic control environment. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1991.

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15

Galanter, Eugene. Multiple paths in complex tasks: Technical report PPL 87/4. [Washington, D.C: National Aeronautics and Space Administration, 1987.

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16

Edara, Praveen. Estimation of traffic impacts at work zones: State of the practice. Charlottesville, Va: Virginia Transportation Research Council, 2006.

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17

Waller, Marvin C. An analysis of the role of ATC in the AILS concept. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 2000.

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18

Samanant, Paul. Description of the AILS alerting algorithm. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 2000.

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19

Dethloff, Jan. Verallgemeinerte Tourenplanungsprobleme: Klassifizierung, Modellierung, Lösungsmöglichkeiten. Göttingen: Vandenhoeck & Ruprecht, 1994.

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20

Izumi, K. H. A conflict analysis of 4D descent strategies in a metered, multiple-arrival route environment. Hampton, Va: NASA Langley Research Center, 1990.

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21

Izumi, K. H. A conflict analysis of 4D descent strategies in a metered, multiple-arrival route environment. Hampton, Va: NASA Langley Research Center, 1990.

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22

Brandimarte, Paolo. Introduction to distribution logistics. Hoboken, N.J: John Wiley, 2007.

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23

Gerald, Shapiro, United States. National Aeronautics and Space Administration., Langley Research Center, and Logistics Management Institute, eds. Terminal area productivity airport wind analysis and Chicago O'Hare model description. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1998.

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24

Delahaye, Daniel, and Stéphane Puechmorel. Modeling and Optimization of Air Traffic. Wiley & Sons, Incorporated, John, 2013.

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25

Delahaye, Daniel. Modeling and Optimization of Air Traffic. Wiley & Sons, Incorporated, John, 2013.

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26

Delahaye, Daniel, and Stéphane Puechmorel. Modeling and Optimization of Air Traffic. Wiley & Sons, Incorporated, John, 2013.

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27

Delahaye, Daniel, and Stéphane Puechmorel. Modeling and Optimization of Air Traffic. Wiley & Sons, Incorporated, John, 2013.

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28

Delahaye, Daniel, and Stéphane Puechmorel. Modeling and Optimization of Air Traffic. Wiley-Interscience, 2013.

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29

D, Griffiths J., and Institute of Mathematics and Its Applications., eds. Mathematics in transport planning and control: Based on the proceedings of a conference on mathematics in transport planning and control, organized by the Institute of Mathematics and Its Applications and held at the University of Wales College of Cardiff in September 1989. Oxford: Clarendon Press, 1992.

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30

H, Gartner Nathan, Improta Gennaro 1942-, and International Seminar on Urban Traffic Networks (2nd : 1992 : Capri, Italy), eds. Urban traffic networks: Dynamic flow modeling and control. Berlin: Springer-Verlag, 1995.

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31

Computational models, software engineering, and advanced technologies in air transportation: Next generation applications. Hershey, PA: Engineering Science Reference, 2010.

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32

Mostafa, Terrab, and Ames Research Center, eds. Real-time adaptive aircraft scheduling. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1990.

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33

Mostafa, Terrab, and Ames Research Center, eds. Real-time adaptive aircraft scheduling. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1990.

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34

Luh, John Zenyoung. Traffic-responsive strategies for personal-computer-based traffic signal control systems. 1989.

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35

Guey-Shii, Lin, and United States. Federal Transit Administration. Office of Technical Assistance and Safety, eds. Adaptive control of transit operations. Washington, D.C: Federal Transit Administration, [Office of Technical Assistance and Safety, 1995.

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36

M, Green Steven, United States. National Aeronautics and Space Administration., and Langley Research Center, eds. Piloted simulation of an air-ground profile negotiation in a time-based air traffic control environment. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1993.

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37

Yiyuan, Zhao, Slattery Rhonda, and United States. National Aeronautics and Space Administration., eds. Effects of modeling errors on trajectory predictions in air traffic control automation. [Washington, D.C: National Aeronautics and Space Administration, 1996.

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38

United States. National Aeronautics and Space Administration. and University of Cincinnati, eds. Atmosphere and wind modeling for ATC. [Cincinnati, Ohio: University of Cincinnati, 1990.

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39

-C, Chang B., Fischl Robert, and Langley Research Center, eds. A problem formulation for glideslope tracking in wind shear using advanced robust control techniques. Hampton, VA: National Aeronautics and Space Administration, Langley Research Center, 1992.

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40

M, Green Steven, Langley Research Center, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., eds. Airborne four-dimensional flight management in a time-based air traffic control environment. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1991.

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41

M, Green Steven, Langley Research Center, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., eds. Airborne four-dimensional flight management in a time-based air traffic control environment. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1991.

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42

M, Green Steven, Langley Research Center, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., eds. Airborne four-dimensional flight management in a time-based air traffic control environment. [Washington, D.C.]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1991.

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43

The Mathematics of Internet Congestion Control (Systems & Control: Foundations & Applications). Birkhäuser Boston, 2003.

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44

Koushik, Datta, and Ames Research Center, eds. A life-cycle cost estimating methodology for NASA-developed air traffic control decision support tools. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 2002.

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45

Koushik, Datta, and Ames Research Center, eds. A life-cycle cost estimating methodology for NASA-developed air traffic control decision support tools. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 2002.

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46

Koushik, Datta, and Ames Research Center, eds. A life-cycle cost estimating methodology for NASA-developed air traffic control decision support tools. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 2002.

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47

Multiple paths in complex tasks: Technical report PPL 87/4. [Washington, D.C: National Aeronautics and Space Administration, 1987.

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48

United States. National Aeronautics and Space Administration., ed. Dynamic flow management problems in air transportation. [Washington, DC: National Aeronautics and Space Administration, 1997.

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49

Georgiadis, Leonidas, Mike Neely, and Leandros Tassiulas. Resource Allocation and Cross Layer Control in Wireless Networks (Foundations and Trends in Networking, V. 1, No. 1). Now Publishers Inc, 2006.

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50

Introduction to Distribution Logistics (Statistics in Practice). Wiley-Interscience, 2007.

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