Academic literature on the topic 'Runways (Aeronautics) Mathematical models'
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Journal articles on the topic "Runways (Aeronautics) Mathematical models"
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Cao, Yihua, Yong Chen, and Yong Zhou. "Studies of capacity estimation of the airport with two parallel runways." Aeronautical Journal 109, no. 1098 (2005): 395–401. http://dx.doi.org/10.1017/s0001924000000816.
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Abstract The analytical capacity models of an airport with two runways system are developed in this paper and the theoretical capacity curves yielded by this model are analysed. The statistic airport capacity estimation methodology based on historical data is introduced as well. Both analytical models and statistic strategy are applied to estimate the capacity of the two runways system of a typical airport. Two sets of airport capacity curves obtained in different ways are compared and analysed. The result of the analysis indicates that the mathematical model works effectively in a fairly accurate way in the estimation of airport capacity.
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Ilie, Constantin Ovidiu, Dănuț Grosu, Oana Mocian, Radu Vilău, and Daniela Bartiș. "Using Statistically Based Modeling for Vehicle Dynamics." Advanced Materials Research 1036 (October 2014): 564–67. http://dx.doi.org/10.4028/www.scientific.net/amr.1036.564.
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This paper is a result of a research focused on statistical vehicles dynamics. Its main purpose is to establish mathematical description of vehicle dynamics based on statistically sufficient experimental data and using statistical instruments. The results are analytical expressions and graphical representations that can be used in situations other than those the data were obtained. Experimental research program objective was to obtain a variety of data to define the dynamics of a vehicle. It involved a large number of tests, more than 100, on different runways, pavement, mosaic tiles or asphalt. They were performed in various weather conditions, sunny and warm weather or rain or sleet and snow. The driving style varied between normal and sport ones. The experimental data were used in obtaining mathematical models that define certain dependency between dynamic parameters. There were issued multiple linear regressions with one resulting parameter. If we analyzed the models we issued we notice that the more factorial parameters are involved, the higher the accuracy of the model we get.
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Li, Daijin, and Kai Luo. "One-Dimensional Model Incorporated with Mechanical Loss and Auxiliary Power for Evaluating Thermodynamic Performance of Stirling Engine." International Journal of Nonlinear Sciences and Numerical Simulation 17, no. 3-4 (2016): 137–48. http://dx.doi.org/10.1515/ijnsns-2014-0063.
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AbstractStirling engines are regarded as an efficient and promising power system for underwater devices. Currently, many models have been used to evaluate thermodynamic performance of Stirling engine, but in which mechanical loss and auxiliary power still cannot be modeled with proper mathematical models. A four-cylinder double-acting Stirling engine for Unmanned Underwater Vehicle (UUV) is discussed in this paper. Referring to the Stirling engine experimental results from National Aeronautics and Space Administration (NASA), a one-dimensional model incorporated with empirical equations of mechanical loss and auxiliary power obtained from experiments is presented. The P-40 Stirling engine with sufficient testing results from NASA is utilized to validate the accuracy of the modified one-dimensional model. And the comparison results suggest good agreement between testing and simulation results. The output power maximum error of theoretical analysis results is less than 18 % over testing results, and the maximum error of input power is no more than 9 %. In short, the one-dimensional model is adequate to evaluate the thermodynamic performance of the Stirling engine.
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Kretulis, V. S. "INVESTIGATION OF THE INFLUENCE OF CORRELATED COLOR TEMPERATURE OF LED illuminatorS AS A FACTOR OF SAFETY LIGHTING OF HIGHWAYS FOR DIFFICULT WEATHER CONDITIONS." Optoelektronìka ta napìvprovìdnikova tehnìka 56 (December 7, 2021): 89–96. http://dx.doi.org/10.15407/iopt.2021.56.089.
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A investigation of the dependence of relative horizontal illumination level and brightness of the most common types of road surface in Ukraine when using LED illuminators with different spectral distribution of radiation in the presence of aerial aerosols of different optical densities (strong, moderate, weak fog and haze) is performed. Mathematical models of LED illuminators with correlated color temperature Tcc = (2200÷8400) K in the visible range of the spectrum λ = (380÷780) nm have been created. Their use together with the selected model of the spectral dependence of the scattering index β (λ) (Ferdinandоv’s model) of the atmospheric environment with the presence of aqueous aerosols, which cause a limited meteorological range of visibility MOR = (0.1÷3) km, showed a slight (1%) advantage in creation of illumination from lamps of a warm spectrum of radiation (TCC = 2200 K) in comparison with cold (Tcc = 8400 K) for cases of strong fogs with MOR = 100 m. Calculations involving the analysis of mathematical modeling of the spectral distribution of the reflection coefficients for two types of road surface (new and worn asphalt) proved that when using warm spectrum illuminators the brightness of the most common in Ukraine old asphalt pavement in the conditions of MOR = 100 m by 5% exceeds the corresponding value of the cold spectrum emitters. This difference gradually decreases as visibility is improved due to the weaker spectral dependence of β (λ) and at MV = 3 km is 4.5%. The advantage of using warm spectrum illuminators will be significantly enhanced for the case of estimating the brightness of the coverage over long distances, for example, airfield runways, which will significantly improve flight safety.
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Vyshinsky, V. V., та K. T. Zoan. "Аtmospheric wind flow around the mountain landscape in the vicinity of Danang airport and flight safety issues". Civil Aviation High Technologies 24, № 6 (2021): 27–41. http://dx.doi.org/10.26467/2079-0619-2021-24-6-27-41.
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Wind boundary layer flow over the mountain landscape and large structures located around runways (RWs) creates coherent vortex structures (CVSs) that can cross a glideslope and airspace in the vicinity of an airport. The aircraft, encountering a vortex structure, experiences significant changes of the aerodynamic forces and moments, what is especially hazardous due to proximity to terrain. From a mathematical point of view, the solution of this problem presents a challenge due to extremely large space – time scale of the phenomenon, the lack of relevant atmospheric models, as well as comprehensive initial – boundary conditions in numerical modeling. In this paper, a composite solution is constructed: the CVSs area generation is computed in sufficient details within the framework of the grid method. Based on the data obtained in the approximation of analytical functions, an initial vortex structure is formed, the evolution and stochastics of which are modeled within the potential approximation by means of Rankine vortices. The evaluation of the forces and moments increment from the impact of vortex structures on the aircraft was carried out by the panel method using the engineering approach. As an example, the CVSs, resulting from wind flow around the mountainous area of the Son Tra Peninsula, that is located short of RWs 35R-17L and 35L-17R of Da Nang airport, are investigated. To improve the computational grids quality and verify the method of solving the boundary value problem for the Reynolds-averaged Navier-Stokes equations, we used the criteria based on the principle of maximum pressure, requiring Q-parameter positivity property in the vortices cores and flow separation regions. A CVS related aviation event, involving a passenger aircraft MC-21, is studied. The aircraft, after takeoff from RW 35R-17L setting the course close to the direction of the vortex wind structure axis from the Son Tra Peninsula, encountered the mountainous area CVS.
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Ketabdari, Misagh, Ignacio P. Millán, Emanuele Toraldo, Maurizio Crispino, and Mariano Pernetti. "Analytical Optimization Model to Locate and Design Runway-Taxiway Junctions." Open Civil Engineering Journal 15, no. 1 (2021): 347–59. http://dx.doi.org/10.2174/1874149502115010347.
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Aims: Air traffic and airport operations are expected to experience significant growth worldwide in the upcoming years. One of the possible approaches to adapt to this demand-led growth in the sector, while guaranteeing optimal levels of airport services and operations safety, is to maximize the capacities of busy airport infrastructures (in particular runways) by evacuating them in the shortest time possible to be ready for hosting next operations. Background: The main research areas in this field range from statistical risk analyses based on the registered accidents databases to simulation analyses modelling the behaviour of the aircraft during landing operations. Objective: The main objective of this study is to determine precisely the optimal distances of runway-taxiway junctions from the runway’s threshold, according to numerous impact parameters such as airport climate pattern, operating aircraft categories, infrastructure type, and capacity, route connections, operating costs, and associated risks. Methods: The authors developed a mathematical model with the goal of simulating the dynamic behaviour of the aircraft during landing and possible consequences introduced by the presence of contaminants over the pavement surface, by calculating their braking distances, and finally to optimize the use of existing infrastructures, specially runway-taxiway junctions, of a commercial airport. In this regard, the interactions between landing gear, pavement, and fluid were carefully analysed. The dynamic pavement skid resistance values in wet pavement conditions were evaluated for optimizing the required landing distances, which are setting the base for optimizing the location of the taxiway junctions. An Italian international airport was selected as the case study to be simulated by the developed model in order to optimize its runway capacity and maximize its rate of operations. Results: In the process, two different scenarios are simulated with the developed model; a modified design of an existing runway and an alternative design solution for constructing a new runway. The developed model offers improvements for both scenarios with respect to the current runway configurations in terms of reduction in mean rolling distances. The simulation of the selected case study shows that the taxiway modification scenario achieves a reduction of 23% in the mean rolling distance for wet and 25% for dry pavement conditions. While, for designing a new runway, greater reductions of 27% for wet and 39% for dry pavement conditions are obtained due to the higher flexibilities and degrees of freedom in designing a runway from the beginning. Conclusion: The developed model can precisely propose new configurations of the runway-taxiway junctions with lower mean rolling distances, which lower the operation costs and fuel consumption, decrease the runway evacuation times and increase the capacity of the airfield. The main advantage of this model is its ability to cover a wider spectrum of boundary conditions with respect to the existing models and its applicability for designing new runways, plus to optimize the configuration of existing infrastructures in order to satisfy the evolution of the industry.
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De Lemos, Hugo, Michel M. Verstraete, and Mary Scholes. "Parametric Models to Characterize the Phenology of the Lowveld Savanna at Skukuza, South Africa." Remote Sensing 12, no. 23 (2020): 3927. http://dx.doi.org/10.3390/rs12233927.
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Mathematical models, such as the logistic curve, have been extensively used to model the temporal evolution of biological processes, though other similarly shaped functions could be (and sometimes have been) used for this purpose. Most previous studies focused on agricultural regions in the Northern Hemisphere and were based on the Normalized Difference Vegetation Index (NDVI). This paper compares the capacity of four parametric double S-shaped models (Gaussian, Hyperbolic Tangent, Logistic, and Sine) to represent the seasonal phenology of an unmanaged, protected savanna biome in South Africa’s Lowveld, using the Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) generated by the Multi-angle Imaging SpectroRadiometer-High Resolution (MISR-HR) processing system on the basis of data originally collected by National Aeronautics and Space Administration (NASA)’s Multi-angle Imaging SpectroRadiometer (MISR) instrument since 24 February 2000. FAPAR time series are automatically split into successive vegetative seasons, and the models are inverted against those irregularly spaced data to provide a description of the seasonal fluctuations despite the presence of noise and missing values. The performance of these models is assessed by quantifying their ability to account for the variability of remote sensing data and to evaluate the Gross Primary Productivity (GPP) of vegetation, as well as by evaluating their numerical efficiency. Simulated results retrieved from remote sensing are compared to GPP estimates derived from field measurements acquired at Skukuza’s flux tower in the Kruger National Park, which has also been operational since 2000. Preliminary results indicate that (1) all four models considered can be adjusted to fit an FAPAR time series when the temporal distribution of the data is sufficiently dense in both the growing and the senescence phases of the vegetative season, (2) the Gaussian and especially the Sine models are more sensitive than the Hyperbolic Tangent and Logistic to the temporal distribution of FAPAR values during the vegetative season, and, in particular, to the presence of long temporal gaps in the observational data, and (3) the performance of these models to simulate the phenology of plants is generally quite sensitive to the presence of unexpectedly low FAPAR values during the peak period of activity and to the presence of long gaps in the observational data. Consequently, efforts to screen out outliers and to minimize those gaps, especially during the rainy season (vegetation’s growth phase), would go a long way to improve the capacity of the models to adequately account for the evolution of the canopy cover and to better assess the relation between FAPAR and GPP.
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Liu, Xiaoyan, Qian Yang, Yunhua Wang, and Yu Zhang. "Evaluation of GOCI Remote Sensing Reflectance Spectral Quality Based on a Quality Assurance Score System in the Bohai Sea." Remote Sensing 14, no. 5 (2022): 1075. http://dx.doi.org/10.3390/rs14051075.
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In the application of ocean color remote sensing, remote sensing reflectance spectral (Rrs(λ)) is the most important and basic parameter for the development of bio-optical algorithms. Atmospheric correction of ocean color data is a key factor in obtaining accurate water Rrs(λ) data. Based on the QA (quality assurance) score spectral quality evaluation system, the quality of Rrs(λ) spectral of GOCI (Geostationary Ocean Color Imager) obtained from four atmospheric-correction algorithms in the Bohai Sea were evaluated and analyzed in this paper. The four atmospheric-correction algorithms are the NASA (National Aeronautics and Space Administration) standard near-infrared atmospheric-correction algorithm (denoted as Seadas—Default), MUMM (Management Unit of the North Sea Mathematical Models, denoted as Seadas—MUMM), and the standard atmospheric-correction algorithms of KOSC GOCI GDPS2.0 (denoted as GDPS2.0) and GDPS1.3 (denoted as GDPS1.3). It is shown that over 90% of the Rrs(λ) data are in good quality with a score ≥4/6 for the GDPS1.3 algorithm. The probability of Rrs(λ) with a QA score of 1 is significantly higher for the GDPS1.3 algorithm (57.36%), compared with Seadas—Default (37.91%), Seadas—MUMM (35.96%), and GDPS2.0 (33.05%). The field and MODIS measurements of Rrs(λ) were compared with simultaneous GOCI Rrs(λ), and they demonstrate that the QA score system is useful in evaluating the spectral shape of Rrs(λ). The comparison results indicate that higher QA scores have higher accuracy of the Rrs band ratio. The QA score system is helpful to develop and evaluate bio-optical algorithms based on the band ratio. The hourly variation of QA score from UTC 00:16 to 07:16 was investigated as well, and it demonstrates that the data quality of GOCI Rrs(λ) can vary in an hour scale. The GOCI data with high quality should be selected with caution when studying the hourly variation of biogeochemical properties in the Bohai Sea from GOCI measurements.
Dissertations / Theses on the topic "Runways (Aeronautics) Mathematical models"
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Kim, Byung Jong. "Optimal runway exit design and capacity enhancement." Diss., Virginia Tech, 1993. http://hdl.handle.net/10919/38637.
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Congestion and delay problems at airports have received much attention in recent years because of the unbalanced condition between demand and supply. Recent demand forecasts indicate that the problems are expected to increase in the next decade. Relieving congestion of the air transportation networks requires several strategies to enhance the runway capacity. Among these strategies is reducing the runway occupancy time a critical factor in affecting runway capacity. And one approach to reducing the runway occupancy time (ROT) is locating the high speed exits optimally.
In addressing the reduction of the runway occupancy time, a full information on the distribution of aircraft landing distance is required. The landing performance at a specific airport may be found by observing the actual landings. However, this is costly and may not be transferable to other airports. An alternative approach is to use a simulation model. A simulation model was built at Center for Transportation Research at Virginia Tech based on point mass kinematics in the flying phase over runway and the ground roll phase on runway to predict the landing roll distance and time to a specified exit speed. Many influencing parameters were incorporated into the model, and then were calibrated using the field data obtained from real operations.
The prediction of a nominal landing roll distance and time to decelerate to a specified exit speed is not sufficient for estimating ROT because the additional time to reach a designated exit should be taken into account. To compute the additional time, a braking adjustment scheme is selected from several alternative schemes. The combination of the selected braking adjustment scheme and the simulation model approximates very closely the observed ROT.
An optimization model is formulated to determine the exit locations so as to minimize the weighted average ROT of the defined aircraft mix. A polynomial-time solution algorithm is developed for this model using Dynamic Programming technique. The major input parameters for the model are the distribution of the landing roll distance to the specified exit speed and the information on the aircraft mix. The model structured to address the problem of designing a new runway as well as the problem of improving an existing runway.
A runway capacity model is used to convert the optimized ROT into capacity gains. Four scenarios are analyzed. Among the scenarios, one is based on the present Air Traffic Control procedures, and three are based on the future developments. The capacity analysis reveals that the ROT does not affect the runway capacity for landing operations. However, the ROT is found as a critical factor for the runway capacity for mixed operations. Hence, the ROT should be optimized for the current system and more crucially for the future developments. The capacity gains by optimizing the ROT under the current Air Traffic Control systems and standards are estimated 2 to 7 more operations per hour. These gains will increase to 20 more operations per hour in the future environment.<br>Ph. D.
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Knight, Peter Robin. "Artificial intelligence and mathematical models for intelligent management of aircraft data." Thesis, University of Southampton, 2012. https://eprints.soton.ac.uk/355717/.
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Increasingly, large volumes of aircraft data are being recorded in an effort to adapt aircraft maintenance procedures from being time-based towards condition-based techniques. This study uses techniques of artificial intelligence and develops mathematical models to analyse this data to enable improvements to be made in aircraft management, affordability, availability, airworthiness and performance. In addition, it highlights the need to assess the integrity of data before further analysis and presents the benefits of fusing all relevant data sources together. The research effort consists of three separate investigations that were undertaken and brought together in order to provide a unified set of methods aimed at providing a safe, reliable, effective and efficient overall procedure. The three investigations are: 1. The management of helicopter Health Usage Monitoring System (HUMS) Condition Indicators (CIs) and their analysis, using a number of techniques, including adaptive thresholds and clustering. These techniques were applied to millions of CI values from Chinook HUMS data. 2. The identification of fixed-wing turbojet engine performance degradation, using anomaly detection techniques, applied to thousands of in-service engine runs from Tornado aircraft. 3. The creation of models to identify unusual aircraft behaviour, such as uncommanded flight control movements. Two Chinook helicopter systems were modelled and the models were applied to over seven hundred in-service flights. In each case, the existing techniques were directed toward a condition-based maintenance approach, giving improved detection and earlier warning of faults.
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Kumar, Niraj. "A genetic algorithm based approach for air cargo loading problem." Thesis, Click to view the E-thesis via HKUTO, 2006. http://sunzi.lib.hku.hk/hkuto/record/B38576818.
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Yao, Yufeng. "Topics in Fractional Airlines." Diss., Georgia Institute of Technology, 2007. http://hdl.handle.net/1853/14563.
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Fractional aircraft ownership programs offer companies and individuals all the benefits of owning private jet, such as safety, consistency, and guaranteed availability, at a fraction of the cost of owning an aircraft. In the fractional ownership model, the partial owners of an aircraft are entitled to certain number of hours per year, and the management company is responsible for all the operational considerations and making sure an aircraft is available to the owners at the requested time and location.
This thesis research proposes advance optimization techniques to help the management company to optimally operate its available resources and provides tools for strategic decision making. The contributions of this thesis are:
(i) The development of optimization methodologies to assign and schedule aircraft and crews so that all flight requests are covered at the lowest possible cost. First, a simple model is developed to solve the crew pairing and aircraft routing problem with column generation assuming that a crew stays with one specific aircraft during its duty period. Secondly, this assumption is partially relaxed to improve resource utilization by revising the simple model to allow a crew to use another aircraft when its original aircraft goes under long maintenance. Thirdly, a new comprehensive model utilizing Benders decomposition technique and a fleet-station time line is proposed to completely relax the assumption that crew stays with one specific aircraft. It combines the fleet assignment, aircraft routing, and crew pairing problems. In the proposed methodologies, real world details are taken into consideration, such as crew transportation and overtime costs, scheduled and unscheduled maintenance effects, crew rules, and the presence of non-crew-compatible fleets. Scheduling with time windows is also discussed.
(ii) The analysis of operational strategies to provide decision making support. Scenario analyses are performed to provide insights on improving business profitability and aircraft availability, such as impact of aircraft maintenance, crew swapping, effect of increasing demand by Jet-card and geographical business expansion, size of company owned aircraft, and strategies to deal with the stochastic feature of unscheduled maintenance and demand.
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Baig, Saood Saeed. "A simple moving boundary technique and its application to supersonic inlet starting /." Thesis, McGill University, 2008. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=112555.
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In this thesis, a simple moving boundary technique has been suggested, implemented and verified. The technique may be considered as a generalization of the well-known "ghost" cell approach for boundary condition implementation. According to the proposed idea, the moving body does not appear on the computational grid and is allowed to move over the grid. The impermeable wall boundary condition is enforced by assigning proper gasdynamic values at the grid nodes located inside the moving body close to its boundaries (ghost nodes). The reflection principle taking into account the velocity of the boundaries assigns values at the ghost nodes. The new method does not impose any particular restrictions on the geometry, deformation and law of motion of the moving body.<br>The developed technique is rather general and can be used with virtually any finite-volume or finite-difference scheme, since the modifications of the schemes themselves are not required. In the present study the proposed technique has been incorporated into a one-dimensional non-adaptive Euler code and a two-dimensional locally adaptive unstructured Euler code.<br>It is shown that the new approach is conservative with the order of approximation near the moving boundaries. To reduce the conservation error, it is beneficial to use the method in conjunction with local grid adaptation.<br>The technique is verified for a number of one and two dimensional test cases with analytical solutions. It is applied to the problem of supersonic inlet starting via variable geometry approach. At first, a classical starting technique of changing exit area by a moving wedge is numerically simulated. Then, the feasibility of some novel ideas such as a collapsing frontal body and "tractor-rocket" are explored.
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Zhao, Yiming. "Efficient and robust aircraft landing trajectory optimization." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/43586.
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This thesis addresses the challenges in the efficient and robust generation and optimization of three-dimensional landing trajectories for fixed-wing aircraft subject to prescribed boundary conditions and constraints on maneuverability and collision avoidance. In particular, this thesis focuses on the airliner emergency landing scenario and the minimization of landing time.
The main contribution of the thesis is two-fold. First, it provides a hierarchical scheme for integrating the complementary strength of a variety of methods in path planning and trajectory optimization for the improvement in efficiency and robustness of the overall landing trajectory optimization algorithm. The second contribution is the development of new techniques and results in mesh refinement for numerical optimal control, optimal path tracking, and smooth path generation, which are all integrated in a hierarchical scheme and applied to the landing trajectory optimization problem.
A density function based grid generation method is developed for the mesh refinement process during numerical optimal control. A numerical algorithm is developed based on this technique for solving general optimal control problems, and is used for optimizing aircraft landing trajectories. A path smoothing technique is proposed for recovering feasibility of the path and improving the tracking performance by modifying the path geometry. The optimal aircraft path tracking problem is studied and analytical results are presented for both the minimum-time, and minimum-energy tracking with fixed time of arrival. The path smoothing and optimal path tracking methods work together with the geometric path planner to provide a set of feasible initial guess to the numerical optimal control algorithm.
The trajectory optimization algorithm in this thesis was tested by simulation experiments using flight data from two previous airliner accidents under emergency landing scenarios.The real-time application of the landing trajectory optimization algorithm as part of the aircraft on-board automation avionics system has the potential to provide effective guidelines to the pilots for improving the fuel consumption during normal landing process, and help enhancing flight safety under emergency landing scenarios. The proposed algorithms can also help design optimal take-off and landing trajectories and procedures for airports.
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"Growth, competitions and strategies in the air transport industry in Pearl River Delta of China." 2008. http://library.cuhk.edu.hk/record=b5893637.
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Xu, Fang.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2008.<br>Includes bibliographical references (leaves 75-79).<br>Abstracts in English and Chinese.<br>Abstract --- p.i<br>Acknowledgement --- p.ii<br>Chapter 1 --- Introduction --- p.1<br>Chapter 2 --- Background Information --- p.3<br>Chapter 2.1 --- Growth of Air-Transportation Industry --- p.3<br>Chapter 2.1.1 --- General Figures --- p.3<br>Chapter 2.1.2 --- Growth of Air Cargo Market --- p.3<br>Chapter 2.1.3 --- Regulatory Support --- p.5<br>Chapter 2.2 --- The Focus: Pearl River Delta --- p.6<br>Chapter 2.2.1 --- Strategic Moves of Airports --- p.8<br>Chapter 2.2.2 --- Investment and Development of Airlines --- p.12<br>Chapter 2.2.3 --- Hong Kong VS Shen Zhen --- p.13<br>Chapter 3 --- Airport Competition --- p.14<br>Chapter 3.1 --- Introduction --- p.14<br>Chapter 3.2 --- One-period two port competition model --- p.15<br>Chapter 3.2.1 --- The basic model --- p.15<br>Chapter 3.2.2 --- Stackelberg Game --- p.23<br>Chapter 3.2.3 --- Location factor --- p.26<br>Chapter 3.3 --- Two-period two port competition model --- p.27<br>Chapter 3.3.1 --- The basic model --- p.27<br>Chapter 3.3.2 --- Switching cost --- p.30<br>Chapter 3.4 --- Conclusion --- p.33<br>Chapter 4 --- Combined airline VS full-cargo airline --- p.34<br>Chapter 4.1 --- Introduction --- p.34<br>Chapter 4.2 --- Model Setup --- p.35<br>Chapter 4.2.1 --- Modelling Capacity and Cost --- p.35<br>Chapter 4.2.2 --- Modelling Demand --- p.37<br>Chapter 4.2.3 --- The Optimization Framework --- p.37<br>Chapter 4.2.4 --- Decomposition of the Decision Process --- p.39<br>Chapter 4.3 --- Step 1: Strategies in the Passenger Market --- p.40<br>Chapter 4.3.1 --- Carriers enter the game with zero-inventory --- p.40<br>Chapter 4.3.2 --- Incumbent carrier has established initial capacity --- p.42<br>Chapter 4.4 --- Step 2: Strategies in the Cargo Market --- p.45<br>Chapter 4.5 --- Centralized decision --- p.49<br>Chapter 4.5.1 --- Both airlines have zero initial capacity in the passenger market --- p.50<br>Chapter 4.5.2 --- One airline has non-zero initial capacity in the passenger market --- p.51<br>Chapter 4.5.3 --- Both airlines have initial capacity in the cargo market --- p.53<br>Chapter 4.6 --- Conclusion --- p.53<br>Chapter 5 --- Demand growth and shifting --- p.55<br>Chapter 5.1 --- Introduction --- p.55<br>Chapter 5.2 --- Competition Scenario --- p.56<br>Chapter 5.2.1 --- Growth and shifting of passenger demand --- p.56<br>Chapter 5.2.2 --- Growth and shifting of cargo demand --- p.60<br>Chapter 5.3 --- Centralized decision making --- p.64<br>Chapter 5.4 --- conclusion --- p.72<br>Chapter 6 --- Conclusion --- p.73<br>Bibliography --- p.75
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"Monitoring air cargo shipments: a framework for detecting potential delays and prescribing corrective measures." 2007. http://library.cuhk.edu.hk/record=b5893196.
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Wan, Yulai.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 2007.<br>Includes bibliographical references (leaves 42-44).<br>Abstracts in English and Chinese.<br>Abstract --- p.i<br>Acknowledgement --- p.iii<br>Chapter Chapter 1 --- Introduction --- p.1<br>Chapter Chapter 2 --- Literature Review --- p.6<br>Chapter Chapter 3 --- Framework --- p.10<br>Chapter Chapter 4 --- The Simulation Model --- p.13<br>Chapter Chapter 5 --- Phase 1: Detect Potential Delay --- p.15<br>Chapter 5.1 --- The delay indicator --- p.15<br>Chapter 5.2 --- Setting tolerance level --- p.20<br>Chapter Chapter 6 --- Phase 2: Prescribe Corrective Measures --- p.22<br>Chapter 6.1 --- Corrective measures --- p.22<br>Chapter 6.2 --- Criteria of selecting measures --- p.24<br>Chapter Chapter 7 --- Phase 3: Validate Corrective Measures --- p.30<br>Chapter Chapter 8 --- Managerial Insights --- p.34<br>Chapter 8.1 --- "Improvement potential, tolerance level and lateness of correction" --- p.34<br>Chapter 8.2 --- Taking corrective measure before consolidation is helpful --- p.36<br>Chapter 8.3 --- Reducing activity duration is a better way to lower activity criticality --- p.37<br>Chapter Chapter 9 --- Conclusion and Future Research --- p.40<br>References --- p.42<br>Appendix: Program code for the simulation model --- p.45
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Weldon, John Phillips. "Dimensioned system dynamics modeling with external subprograms for Air Force aviation fuel." Phd thesis, 1993. http://hdl.handle.net/1885/145688.
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Turner, Sheelah Anne. "An application of a gravity model to air cargo at Vancouver International Airport." Thesis, 2002. http://hdl.handle.net/2429/12234.
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There has been very little research in the area of air cargo demand analysis and
forecasting. This thesis attempts to investigate the application of gravity models to air
cargo. Using international export volumes from Vancouver International Airport in 1998,
a gravity model was built. The inclusion of tariffs as an impedance factor allowed testing
of the effect of tariffs as predicted by gravity models. The results were consistent with
international trade theory that tariffs provide a barrier to international trade. Further, a
comparison is made between aggregate and disaggregate models (across commodities).
It was found that aggregation eliminates commodity specific characteristics.
In using the gravity model, there are two adjustments which need to be made to reduce
the bias in the model: firstly, adjustment is necessary to the bias inherent in the constant
term of a log-linear model; and a further adjustment is required when forecasting actual
levels rather than log levels. Even after adjustments for both types of bias, the gravity
model did not produce accurate forecasts. The aggregate model produced better forecasts
than the disaggregate model, but both sets of forecasts did not accurately predict the
actual volumes transported. This could be as a result of the stable nature of the variables
included in the model, which tend to change very slowly over time. Further, it is
apparent that other additional explanatory variables should be included in the models to
better capture the short-term changes in air cargo.
Books on the topic "Runways (Aeronautics) Mathematical models"
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Szydło, Antoni. Statyczna identyfikacja parametrów modeli nawierzchni lotniskowych. Oficyna Wydawnicza Politechniki Wrocławskiej, 1995.
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Waller, Marvin C. An analysis of the role of ATC in the AILS concept. National Aeronautics and Space Administration, Langley Research Center, 2000.
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Samanant, Paul. Description of the AILS alerting algorithm. National Aeronautics and Space Administration, Langley Research Center, 2000.
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National Research Council (U.S.). Transportation Research Board, Airport Cooperative Research Program, and United States. Federal Aviation Administration, eds. Improved models for risk assessment of runway safety areas. Transportation Research Board, 2011.
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Zhivetin, Vladimir. Metody i sredstva obespechenii︠a︡ bezopasnosti poleta: Riski i bezopasnostʹ aviat︠s︡ionnykh sistem. In-t problem riska, 2010.
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Zhivetin, Vladimir. Sistemnai︠a︡ bezopasnostʹ grazhdanskoĭ aviat︠s︡ii strany: Riski i bezopasnostʹ aviat︠s︡ionnykh sistem, analiz, prognozirovanie, upravlenie. 2-ге вид. In-t problem riska, 2009.
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Komaristyĭ, E. N. Informat︠s︡ionno-modelʹnyĭ kompleks dli︠a︡ issledovanii︠a︡ rynka grazhdanskikh aviaperevozok. In-t ėkonomiki i organizat︠s︡ii promyshlennogo proizvodstva, 2006.
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Ozoka, Angus Ifeanyi. Aviation facilities planning, research, and development: A global experience. Nigerian Gong Press, 1997.
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Zhivetin, Vladimir. Tekhnicheskiĭ risk: Ėlementy analiza po ėtapam zhiznenogo t︠s︡ikla LA. GRAF, 2001.
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Baysal, Oktay. Supersonic aerodynamic interference effects of store separation. Dept. of Mechanical Engineering and Mechanics, College of Engineering and Technology, Old Dominion University, 1987.
Find full textConference papers on the topic "Runways (Aeronautics) Mathematical models"
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Pawlus, W., J. E. Nielsen, H. R. Karimi, and K. G. Robbersmyr. "Further results on mathematical models of vehicle localized impact." In 2010 3rd International Symposium on Systems and Control in Aeronautics and Astronautics (ISSCAA 2010). IEEE, 2010. http://dx.doi.org/10.1109/isscaa.2010.5634041.
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