The constant growth of air traffic, especially in Europe, is putting pressure on airports, which, in turn, are suffering congestion problems. The airspace surrounding airport, terminal manoeuvring area (TMA), is particularly congested, since it accommodates all the converging traffic to and from airports. Besides airspace, airport ground capacity is also facing congestion problems, as the inefficiencies coming from airspace operations are transferred to airport ground and vice versa. The main consequences of congestion at airport airspace and ground, is given by the amount of delay generated, which is, in turn, transferred to other airports within the network. Congestion problems affect also the workload of air traffic controllers that need to handle this big amount of traffic.This thesis deals with the optimization of the integrated airport operations, considering the airport from a holistic point of view, by including operations such as airspace and ground together. Unlike other studies in this field of research, this thesis contributes by supporting the decisions of air traffic controllers regarding aircraft sequencing and by mitigating congestion on the airport ground area. The airport ground operations and airspace operations can be tackled with two different levels of abstractions, macroscopic or microscopic, based on the time-frame for decision-making purposes. In this thesis, the airport operations are modeled at a macroscopic level.The problem is formulated as an optimization model by identifying an objective function that considers the amount of conflicts in the airspace and capacity overload on the airport ground; constraints given by regulations on separation minima between consecutive aircraft in the airspace and on the runway; decision variables related to aircraft entry time and entry speed in the airspace, landing runway and departing runway choice and pushback time. The optimization model is solved by implementing a sliding window approach and an adapted version of the metaheuristic simulated annealing. Uncertainty is included in the operations by developing a simulation model and by including stochastic variables that represent the most significant sources of uncertainty when considering operations at a macroscopic level, such as deviation from the entry time in the airspace, deviation in the average taxi time and deviation in the pushback time. In this thesis, optimization and simulation techniques are combined together by developing two methods that aim at improving the solution robustness and feasibility. The first method acts as a validation tool for the optimized solution, and it improves the robustness of solution by iteratively fine-tuning some of the optimization model input parameters. The second method embeds the optimization in a simulation environment by taking full advantage of the sliding window approach and creating a loop for a continuous improvement of the optimized solution at each window of the sliding window approach. Both methods prove to be effective by improving the performance, lowering the total amount of conflicts up to 23.33% for the first method and up to 11.2% for the second method, however, in contrast to the deterministic method, the two methods they are not able to achieve a conflict-free scenario due to the effect of uncertainty.In general, the research conducted in this thesis highlights that uncertainty is a factor that affects to a large extent the feasibility of optimized solution when applied to real-world instances, and it, moreover, confirms that using simulation together with optimization has the potentiality toivdeal with uncertainty. The framework developed can be potentially applied to similar problems and different optimization solving methods can be adapted to it.Keywords: Optimization, Simulation, Integrated airport operations, Uncertainty
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Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-8, 147-154, 2014www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-8/147/2014/doi:10.5194/isprsarchives-XL-8-147-2014Integrated flood disaster management and spatial information: Case studies ofNetherlands and IndiaS. Zlatanova1, T. Ghawana2, A. Kaur2, and J. M. M. Neuvel31Faculty of Architecture, Jullianalaan, TU Delft, 134, 2628BL Delft, the Netherlands2Centre for Disaster Management Studies, Guru Gobind Singh Indraprastha University, Sector-16C, Dwarka, New Delhi, P.O. Box-110078, India3Saxion University of Applied Sciences, Risk management, Handelskade 75, 7417 DH Deventer, the NetherlandsKeywords: Floods, Spatial Information Infrastructure, GIS, Risk Management, Emergency Management Abstract. Spatial Information is an integral part of flood management practices which include risk management &emergency response processes. Although risk & emergency management activities have their own characteristics, forexample, related to the time scales, time pressure, activities & actors involved, it is still possible to identify at least onecommon challenge that constrains the ability of risk & emergency management to plan for & manage emergencieseffectively and efficiently i.e. the need for better information. Considering this aspect, this paper explores flood managementin Netherlands& India with an emphasis on spatial information requirements of each system. The paper examines theactivities, actors & information needs related to flood management. Changing perspectives on flood management inNetherlands are studied where additional attention is being paid to the organization and preparation of flood emergencymanagement. Role of different key actors involved in risk management is explored. Indian Flood management guidelines, byNational Disaster Management Authority, are analyzed in context of their history, institutional framework, achievements andgaps. Flood Forecasting System of Central Water Commission of India is also analyzed in context of spatial dimensions.Further, information overlap between risk & emergency management from the perspectives of spatial planners & emergencyresponders and role of GIS based modelling / simulation is analyzed. Finally, the need for an integrated spatial informationstructure is explained & discussed in detail. This examination of flood management practices in the Netherlands and Indiawith an emphasis on the required spatial information in these practices has revealed an increased recognition of the stronginterdependence between risk management and emergency response processes. Consequently, the importance of anintegrated spatial information infrastructure that facilitates the process of both risk and emergency management isaddressed.Conference Paper (PDF, 1063 KB) Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-8, 147-154, 2014www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-8/147/2014/doi:10.5194/isprsarchives-XL-8-147-2014Integrated flood disaster management and spatial information: Case studies ofNetherlands and IndiaS. Zlatanova1, T. Ghawana2, A. Kaur2, and J. M. M. Neuvel31Faculty of Architecture, Jullianalaan, TU Delft, 134, 2628BL Delft, the Netherlands2Centre for Disaster Management Studies, Guru Gobind Singh Indraprastha University, Sector-16C, Dwarka, New Delhi, P.O. Box-110078, India3Saxion University of Applied Sciences, Risk management, Handelskade 75, 7417 DH Deventer, the NetherlandsKeywords: Floods, Spatial Information Infrastructure, GIS, Risk Management, Emergency ManagementAbstract. Spatial Information is an integral part of flood management practices which include risk management &emergency response processes. Although risk & emergency management activities have their own characteristics, forexample, related to the time scales, time pressure, activities & actors involved, it is still possible to identify at least onecommon&
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Nowadays the main airports throughout the world are suffering because their capacity are getting close to saturation due to the air traffic which is still increasing besides the economic crisis and oil prices. In addition, the forecasts predict an increase in air traffic of at least 3.6% until 2020. This situation makes very important to come up with solutions to alleviate capacity congestions in the main airports throughout the world. Capacity has been perceived traditionally as the factor to be addressed in airport systems and it is faced through a technical perspective. In this paper we propose to change the mind-set and view capacity of airport systems taking other factors than pure technical ones. The discussion is illustrated with the example of Schiphol Airport.
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