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Page 768 of The Journal of the Operational Research Society Vol. 55, Issue 7 [page]

2004 The Journal of the Operational Research Society  
A_ rule-based reactive model for the simulation of aircraft on airport gates. Knowledge-based Syst 10: 225-236. Haghani A and Chen MC (1998). Optimizing gate assignments at airport terminals.  ...  A simulation analysis of airport terminal operations. Transport Res 3: 481-491. Cheng Y (1998). Network-based simulation of aircraft at gates in airport terminals. J Transport Eng 124: 188-196.  ... 

A comparison of aircraft trajectory-based and aggregate queue-based control of airport taxi processes

Hanbong Lee, Ioannis Simaiakis, Hamsa Balakrishnan
2010 29th Digital Avionics Systems Conference  
A simple surface traffic optimization approach is to hold aircraft back at the gates based on aggregate information on surface queues.  ...  Depending on the level of surface surveillance and onboard equipage, it may also be possible use a more complex approach, namely, to simultaneously optimize the surface trajectories of all taxiing aircraft  ...  a network model of an airport.  ... 
doi:10.1109/dasc.2010.5655526 fatcat:ptlgicg24zfibhc4u4szp7rr6i

New heuristics for over-constrained flight to gate assignments

H Ding, A Lim, B Rodrigues, Y Zhu
2004 Journal of the Operational Research Society  
A_ rule-based reactive model for the simulation of aircraft on airport gates. Knowledge-based Syst 10: 225-236. Haghani A and Chen MC (1998). Optimizing gate assignments at airport terminals.  ...  A simulation analysis of airport terminal operations. Transport Res 3: 481-491. Cheng Y (1998). Network-based simulation of aircraft at gates in airport terminals. J Transport Eng 124: 188-196.  ... 
doi:10.1057/palgrave.jors.2601736 fatcat:fsyh5w2ujjdp5frwstccokyawe

Dynamic Hot Spot Prediction by Learning Spatial- Temporal Utilization of Taxiway Intersections

Hasnain Ali, Raphael Delair, Duc-Thinh Pham, Sameer Alam, Michael Schultz
2020 2020 International Conference on Artificial Intelligence and Data Analytics for Air Transportation (AIDA-AT)  
We use airside infrastructure and A-SMGCS operations data of Changi airport to model aircraft arrival at different taxiway intersections both in temporal and spatial dimensions.  ...  These hot spots are then visually displayed on the aerodrome diagram for heightened attention of ground ATCOs.  ...  , or are formulated around a rule based model which does not include the stochastic nature of ground operations.  ... 
doi:10.1109/aida-at48540.2020.9049186 fatcat:bxaa3qnvkba4zdjlsoebadsofu

Optimum Airport Capacity Utilization under Congestion Management: A Case Study of New York LaGuardia Airport

Loan Le, George Donohue, Karla Hoffman, Chun-Hung Chen
2008 Transportation planning and technology (Print)  
In addition, the reduction of flights through consolidation of low load-factor flights and through aircraft up-gauging alleviate much of the current traffic pressure on high-demand airports. (276 words  ...  The IMC rate provides a predictable on-time performance for the identified schedules in all weather conditions.  ...  We intend to extend this work to the model a region that has at least three major airports, one of which is a hub airport.  ... 
doi:10.1080/03081060701835779 fatcat:5sdvmrfe5zcxxnii4e7ibre5qa

Aircraft route forecasting under adverse weather conditions

Thomas Hauf, Patrick Hupe, Manuela Sauer, Carl-Herbert Rokitansky, Jürgen Lang, Daniel Sacher, Pak Wai Chan, Ludmila Sakiew
2017 Meteorologische Zeitschrift  
Flights were simulated with a nowcast issued at the time an aircraft entered the TMA or departed from the airport.  ...  In this paper storm nowcasts in the terminal manoeuvring area (TMA) of Hong Kong International Airport are used to forecast deviation routes through a field of storms for arriving and departing aircraft  ...  Based on the aircraft call sign of a given flight we conclude on that day-specific flight and on the departing airport (see Table 1 ).  ... 
doi:10.1127/metz/2016/0786 fatcat:jbiqtvehjfbqrbh3cnhnax5wza

Robust Kalman filter design for predictive wind shear detection

D.A. Stratton, R.F. Stengel
1993 IEEE Transactions on Aerospace and Electronic Systems  
Severe low-altitude wind shear is a threat to aviation safety. Newly developed airborne sensors measure the radial component of wind along a Line directly in front of an aircraft.  ...  Comparative capability of the detection algorithm as a function of its design parameters is determined, identifying designs that provide robust detection of severe wind shear.  ...  Given a prior probability of encounter with severe wind shear, Pr{H}, the probability of severe wind shear can be updated or conditioned on the warning using Bayes's rule, Monte Carlo simulation is a means  ... 
doi:10.1109/7.259521 fatcat:yjrofghshbgahl3gt5c3qdmehe

Design and evaluation of an air traffic control Final Approach Spacing Tool

THOMAS J. DAVIS, HEINZ ERZBERGER, STEVEN M. GREEN, WILLIAM NEDELL
1991 Journal of Guidance Control and Dynamics  
for different aircraft models.  ...  If all aircraft were large, the runway capacity for this simulation based on the scheduling interval of 78 s would be 46.2 aircraft/h.  ... 
doi:10.2514/3.20721 fatcat:dgjnb3bznzf6vaokfedvbprrui

Formal Verification of Simulation Scenarios in Aviation Scenario Definition Language (ASDL)

Bharvi Chhaya, Shafagh Jafer, Umut Durak
2018 Aerospace (Basel)  
This paper uses statecharts and a model checker for the verification of each scenario generated and uses examples to demonstrate conformance to the rules established in the statecharts to verify the logic  ...  The Aviation Scenario Definition Language is a domain-specific language designed based on a scenario development process from a model-driven engineering perspective.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/aerospace5010010 fatcat:jk3soavhk5anhgfeb2pzubwzwu

Tactical Surface Metering Procedures and Information Needs for Charlotte Douglas International Airport [chapter]

Savita Verma, William J. Coupe, Hanbong Lee, Isaac Robeson, Yoon Jung, Shivanjli Sharma, Victoria L. Dulchinos, Lindsay Stevens
2018 Advances in Intelligent Systems and Computing  
With demand forecasts and predicted taxi trajectories, this tool computes an efficient runway schedule of aircraft within the planning horizon based on their flight readiness as indicated by Earliest Off-Block  ...  They do so because it keeps their workload manageable and also vacates the gates for arrivals.  ...  This results in all the delay being absorbed in the AMA and no delay modeled or taken in the ramp. Based on the flight's TOBT, a gate hold recommendation is provided on the RTC.  ... 
doi:10.1007/978-3-319-93885-1_15 fatcat:2bcjk6oetfgprmzxmlf5tmvdhy

Feedback Control of the National Airspace System

Jerome Le Ny, Hamsa Balakrishnan
2011 Journal of Guidance Control and Dynamics  
This paper proposes a general modeling framework adapted to the feedback control of traffic flows in Eulerian models of the National Airspace System (NAS).  ...  It is shown that the problems of scheduling and routing aircraft flows in the NAS can be posed as the control of a network of queues with load-dependent service rates.  ...  Consider, for example, a model incorporating the scheduling and routing of [32] ; for example, one can use the index m to differentiate buffers in control volumes based only on the destination airport  ... 
doi:10.2514/1.51203 fatcat:pc5xs53pxrasfhonegvpf27y5m

Benefit opportunities for integrated surface and airspace departure scheduling: A study of operations at Charlotte-Douglas International Airport

Rich Coppenbarger, Yoon Jung, Tom Kozon, Amir Farrahi, Waqar Malik, Hanbong Lee, Eric Chevalley, Matt Kistler
2016 2016 IEEE/AIAA 35th Digital Avionics Systems Conference (DASC)  
The potential impact of the technology is studied and discussed through a quantitative analysis of relevant shortfalls at the site identified for initial deployment and demonstration in 2017: Charlotte-Douglas  ...  Results from trajectory analysis indicate substantial opportunity to reduce taxi delays for both departures and arrivals by metering departures at the gate in a manner that maximizes throughput while adhering  ...  ACKNOWLEDGMENT The authors thank American Airlines for providing the Aerobahn data used to support this analysis.  ... 
doi:10.1109/dasc.2016.7778084 fatcat:upsnuhjmczeihltuq5p237rihe

Restricting Use of Reverse Thrust as an Emissions Reduction Strategy

Colin Rice
2002 Transportation Research Record  
The final model run that was performed made a drastic difference in the results and conclusions of this research.  ...  Corsi for his comments and suggestions regarding the air quality policy and modeling of my dissertation. I would also like to acknowledge the help of Dr. David T. Allen, Dr.  ...  A TIM for each aircraft type was assigned based on the data collected from ABIA. If the aircraft was not sampled at ABIA, its TIM was based on its thrust reverser classification.  ... 
doi:10.3141/1788-16 fatcat:wvrk2ijyzndcdodjcgy6mks7oi

Vizir

Stéphane Conversy, Jeremie Garcia, Guilhem Buisan, Mathieu Cousy, Mathieu Poirier, Nicolas Saporito, Damiano Taurino, Giuseppe Frau, Johan Debattista
2018 The 31st Annual ACM Symposium on User Interface Software and Technology - UIST '18  
Automation is one of the key solutions proposed and adopted by international Air Transport research programs to meet the challenges of increasing air traffic.  ...  Here we present Vizir, a Domain-Specific Graphical Language and an Environment for authoring and operating airport automations.  ...  ACKNOWLEDGEMENTS We are grateful to experts and controllers from Malta Airport that participated in our studies.  ... 
doi:10.1145/3242587.3242623 dblp:conf/uist/ConversyGBCPSTF18 fatcat:34pe5evifve2fldtlie6relzke

A Holistic Review of Cybersecurity and Reliability Perspectives in Smart Airports

Nickolaos Koroniotis, Nickolaos Koroniotis, Nour Moustafa, Nour Moustafa, Francesco Schiliro, Francesco Schiliro, Praveen Gauravaram, Praveen Gauravaram, Helge Janicke
2020 IEEE Access  
Traditional pre-ML rules-based engines required thousands of rules to be effective [140] . ML and DL models rely heavily on data.  ...  An Intrusion Response System on the other hand, is a reactive measure that is invoked after an attack (intrusion) has been detected, employing either an expert-system rule-based approach or an adaptive  ... 
doi:10.1109/access.2020.3036728 fatcat:7kbdcvfwmvextpmrgo4mc2qgyq
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