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Master's Dissertation
DOI
10.11606/D.3.2018.tde-17072018-141053
Document
Author
Full name
Wesley José Nogueira Medeiros
E-mail
Institute/School/College
Knowledge Area
Date of Defense
Published
São Paulo, 2018
Supervisor
Committee
Júnior, João Batista Camargo (President)
Barreto, Alexandre de Barros
Filgueiras, Lucia Vilela Leite
Title in Portuguese
Modelo para determinação de resiliência em sistemas de transportes: uma aplicação no sistema de tráfego aéreo.
Keywords in Portuguese
Controle de tráfego
Logística
Sistemas de transportes
Transporte aéreo
Abstract in Portuguese
Este trabalho propõe um modelo de análise quantitativa baseado em simulação de eventos discretos para a determinação do nível de resiliência em sistemas de transporte. O nível de resiliência é avaliado considerando as funções de desempenho relacionadas a capacidade, ao nível de serviço e ao tempo de recuperação do sistema de transporte frente a um evento de ruptura. O modelo é validado através de estudo de caso aplicado ao sistema de tráfego aéreo brasileiro, considerando um espaço aéreo composto por 12 setores de uma região de informação de voo (FIR), suas demandas diárias de aeronaves, sua malha de rotas aéreas e sua rede de aeródromos instalada. O evento de ruptura é oriundo de condições meteorológicas adversas que afetam simultaneamente as operações de pouso e decolagem no aeroporto do Rio de Janeiro - Santos Dumont (SBRJ) e no aeroporto de São Paulo - Congonhas (SBSP). Conclui-se que o modelo de análise permite a plena determinação do nível de resiliência em sistemas de transportes, mesmo em situações de rupturas operacionais simultâneas.
Title in English
Model for determining resilience in transport systems: an application in the air traffic system.
Keywords in English
Air traffic control
Logistic
Resilience
Transport systems
Abstract in English
This work proposes a quantitative analysis model based on discrete event simulation (DES) to determine the resilience level of transport systems. The resilience level is evaluated considering the performance functions related to capacity, service level and recovery time of the transport system in a presence of disruptive events. The model is validated through a case study applied to the Brazilian air traffic system, considering an airspace with 12 sectors of a flight information region (FIR), its daily aircraft demands, its air route network and its aerodromes network installed. The disruptive event comes from adverse weather conditions that simultaneously affect the landing and takeoff operations at Rio de Janeiro - Santos Dumont (SBRJ) and São Paulo - Congonhas (SBSP) airports. It is concluded that the analysis model allows the full determination of the resilience level in transport systems, even in situations of simultaneous operational disruptions.
 
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Publishing Date
2018-07-20
 
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