Zoekresultaten

Modelling the ground connection between two airports in a multi-airport system

This study presents a model-based analysis of the groundconnectivity performance of the future Santa Lucia-Mexico City multi-airport system. The plan of the currentgovernment is to connect the two airports by a dedicatedline, either by bus or other transport so that passengersand airlines can get the benefit of a coordinatedoperation. Performance indicators such as minimumconnecting time, vehicle utilization and passengerwaiting time are used to evaluate the future performance.Results reveal that when all passengers are allowed to usethe connection, a big number of vehicles are required forproviding a good level of service while in the case of arestricted use to only transfer passengers the operationwith Bus would have a good performance.

Optimization-Simulation implementations for harmonizing operations at big airports

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

Model-based Methodology for Identifying Capacity Limitations in Airports: Mexico City Airport Case

The current study presents a methodology for analysing and identifying the limitations in capacity of an airport, the methodology has been implemented in the case of Mexico City Airport which is a congested airport in Mexico. The methodology allows identifying what room is left for absorbing more traffic and what options are available while a new infrastructure is in place. The methodology revealed, that there is still room for absorbing more traffic under certain conditions and starting from that, actions can be taken in order to increase the capacity or reducing congestion in the airport.

Look-Ahead Airline Seat Allocation: Enhancing Efficiency in Passenger Transfers at Hub Airports

This study examines the effect of seat assignment strategies on the transfer time of connecting passengers at a hub airport. Passenger seat allocation significantly influences disembarkation times, which can increase the risk of missed connections, particularly in tight transfer situations. We propose a novel seat assignment strategy that allocates seats to nonpaying passengers after check-in, prioritising those with tight connections. This approach diverges from traditional methods focused on airline turnaround efficiency, instead optimizing for passenger transfer times and reducing missed connections. Our simulation, based on real-world data from Paris-Charles de Gaulle airport, demonstrates that this passenger-centric model decreases missed connections by 12%, enhances service levels, reduces airline compensation costs, and improves airport operations. The model accounts for variables such as seat occupancy,luggage, and passenger type (e.g., business, leisure) and is tested under various scenarios, including air traffic delays.

Queretaro airport business model

Mexico transported in 2018 over 97.3 million passengers on its 77 airports in the country, from which 64 are international, with ana Amsterdam University of Applied Science (AUAS), Weesperzijde 190, 1097 DZ Amsterdam, Netherlandsaverage growth rate of 7.6% respects 2017. Particularity, Queretaro International Airport has shown a very significant growth,handling almost 95 thousand passengers in 2006 towards over one million passengers in 2018 according to Civil AviationAuthorities. Furthermore, in the last years Queretaro city and its suburbs have been developing into a strong industrial regiontogether with an aeronautical cluster; this is as an initiative of Mexican Government which gather more than 80 manufactureaeronautical enterprises such as General Electric, Bombardier, Grupo Safran and Aernova, amongst others. There is one of the Mexico transported in 2018 over 97.3 million passengers on its 77 airports in the country, from which 64 are international, with anbiggest Maintenance, Repairing and Over hall (MRO) service facilities of Latin America which belong to Aeromexico and Delta average growth rate of 7.6% respects 2017. Particularity, Queretaro International Airport has shown a very significant growth,Airlines. In addition, research, educational and training institutions supply high trained personnel to the industry. These unique handling almost 95 thousand passengers in 2006 towards over one million passengers in 2018 according to Civil Aviationcharacteristics of Queretaro airport make suitable for study, particularly an analysis of the main current and potential characteristics Authorities. Furthermore, in the last years Queretaro city and its suburbs have been developing into a strong industrial regionof the business development of the region through the growth model of the airport. Therefore, the work aims to highlight the potential together with an aeronautical cluster; this is as an initiative of Mexican Government which gather more than 80 manufactureaspects of the airport business model and the need to cope with it though an Airport Master Plan (AMP) based on a long-term aeronautical enterprises such as General Electric, Bombardier, Grupo Safran and Aernova, amongst others. There is one of thevision strategy towards 2040-2050. The approach integrates the international, national and regional trends related to aviation, and biggest Maintenance, Repairing and Over hall (MRO) service facilities of Latin America which belong to Aeromexico and Deltathe perspective of global growth as driver of connectivity for commercial and cargo aviation. It has been found that the airport has an Airlines. In addition, research, educational and training institutions supply high trained personnel to the industry. These uniqueinteresting and challenging portfolio of activities and market opportunities. Based on the economic activities in the region and the characteristics of Queretaro airport make suitable for study, particularly an analysis of the main current and potential characteristicsgood landside connectivity to Mexico City the passenger and cargo traffic at Queretaro Airport have good potential for growth of the business development of the region through the growth model of the airport. Therefore, the work aims to highlight the potentialeither via local based home carrier providing connections within Mexico and to major international destinations including long haul. aspects of the airport business model and the need to cope with it though an Airport Master Plan (AMP) based on a long-termThe airport has a solid infrastructure base, a long runway capable to accommodate almost all aircraft types for domestic and vision strategy towards 2040-2050. The approach integrates the international, national and regional trends related to aviation, andinternational traffic and cargo; MRO services, aircraft parts manufacturing facilities, an aviation university as well as the the perspective of global growth as driver of connectivity for commercial and cargo aviation. It has been found that the airport has andevelopment of commercial services for passengers and in the surrounding communities. Queretaro Airport is capable to move fast interesting and challenging portfolio of activities and market opportunities. Based on the economic activities in the region and thebased on its current portfolio of activities, facilities, and scheduled modifications of the terminal, etc. We can assume that airlines good landside connectivity to Mexico City the passenger and cargo traffic at Queretaro Airport have good potential for growthwill be looking for new opportunities to serve the Mexican market at large and the Mexico City area in particular. Dedicated airlines either via local based home carrier providing connections within Mexico and to major international destinations including long haul.marketing, to speed up development of landside commercial services (hotel, landside transportation to Mexico City) will position The airport has a solid infrastructure base, a long runway capable to accommodate almost all aircraft types for domestic andQueretaro Airport to benefit from this new development.international traffic and cargo; MRO services, aircra

Report on the environmental performance class of airlines flying at Swedish airports