International Journal of Aviation Management http://www.inderscience.com/browse/index.php?journalID=289&year=2012&vol=1&issue=3 Inderscience Publishers Ltd en-uk International Journal of Aviation Management 1755-9901 1755-991X © 2012 Inderscience Publishers Ltd editor@inderscience.com https://www.inderscience.com/images/files/coverImgs/ijam_scoverijam.jpg http://www.inderscience.com/browse/index.php?journalID=289&year=2012&vol=1&issue=3 http://www.inderscience.com/link.php?id=45736 Air traffic flow management (ATFM) is of crucial importance for the airspace control system, due to two factors: first, the impact of ATFM on air traffic control, including inherent safety implications on air operations; second, the possible consequences of ATFM measures on airport operations. Thus, it is imperative to establish procedures and develop systems that help traffic flow managers to take optimal actions. In this context, this work presents a comparative study of ATFM measures generated by a computational agent based on artificial intelligence (reinforcement learning). The goal of the agent is to establish delays upon takeoff schedules of aircraft departing from certain terminal areas so as to avoid congestion or saturation in the air traffic control sectors due to a possible imbalance between demand and capacity. The paper includes a case study comparing the ATFM measures generated by the agent autonomously and measures generated taking into account the experience of human traffic flow managers. The experiments showed satisfactory results. Reinforcement learning agents to tactical air traffic flow management
Antonio Marcio Ferreira Crespo; Li Weigang; Alexandre Gomes de Barros
International Journal of Aviation Management, Vol. 1, No. 3 (2012) pp. 145 - 161
Air traffic flow management (ATFM) is of crucial importance for the airspace control system, due to two factors: first, the impact of ATFM on air traffic control, including inherent safety implications on air operations; second, the possible consequences of ATFM measures on airport operations. Thus, it is imperative to establish procedures and develop systems that help traffic flow managers to take optimal actions. In this context, this work presents a comparative study of ATFM measures generated by a computational agent based on artificial intelligence (reinforcement learning). The goal of the agent is to establish delays upon takeoff schedules of aircraft departing from certain terminal areas so as to avoid congestion or saturation in the air traffic control sectors due to a possible imbalance between demand and capacity. The paper includes a case study comparing the ATFM measures generated by the agent autonomously and measures generated taking into account the experience of human traffic flow managers. The experiments showed satisfactory results.

]]> 10.1504/IJAM.2012.045736 International Journal of Aviation Management, Vol. 1, No. 3 (2012) pp. 145 - 161 Antonio Marcio Ferreira Crespo; Li Weigang; Alexandre Gomes de Barros Comando da Aeronáutica, Centro de Gerenciamento da Navegação Aérea, Praça Sen. Salgado Filho S/N, Centro – Rio de Janeiro, 71615-600, RJ, Brazil. ' Department of Computer Science, University of Brasilia, Caixa Postal 4466, 70919-970 Brasilia, DF, Brazil. ' Department of Civil Engineering, Schulich School of Engineering, University of Calgary, 2500 University Drive NW, Calgary, Alberta, T2N 1N4, Canada ATFM measures agents artificial intelligence AI reinforcement learning tactical flow management air traffic flow management airspace control air traffic control agent-based systems congestion saturation aircraft takeoff schedules delays. 2012-03-03T23:20:50-05:00 1 3 145 161 2012-03-03T23:20:50-05:00 http://www.inderscience.com/link.php?id=45737 ADS-B is a very useful system to solve surveillance precision problems mainly if installation, operation and maintenance costs of alternative ones are too expensive when they are based on air traffic figures. This paper begins with some remarks about ADS-B technology, precisely to introduce the case study of Azores archipelago within Santa Maria FIR, in Portugal. On the basis of real scenarios of Pescara, Trabzon and Rhodes, and using EMOSIA model, a study is conducted to understand costs and return on investment on such equipment in Azores area. Finally, the paper concludes with some highlights of future research. Advanced air traffic management technologies: the ADS-B impact over ATM concepts. The case for Portugal
Cláudia V.C. Rodrigues; Jorge M.R. Silva; Kouamana Bousson
International Journal of Aviation Management, Vol. 1, No. 3 (2012) pp. 162 - 180
ADS-B is a very useful system to solve surveillance precision problems mainly if installation, operation and maintenance costs of alternative ones are too expensive when they are based on air traffic figures. This paper begins with some remarks about ADS-B technology, precisely to introduce the case study of Azores archipelago within Santa Maria FIR, in Portugal. On the basis of real scenarios of Pescara, Trabzon and Rhodes, and using EMOSIA model, a study is conducted to understand costs and return on investment on such equipment in Azores area. Finally, the paper concludes with some highlights of future research.

]]> 10.1504/IJAM.2012.045737 International Journal of Aviation Management, Vol. 1, No. 3 (2012) pp. 162 - 180 Cláudia V.C. Rodrigues; Jorge M.R. Silva; Kouamana Bousson Department of Aerospace Sciences, University of Beira Interior, 6200-358 Covilhã, Portugal. ' Department of Aerospace Sciences, University of Beira Interior, 6200-358 Covilhã, Portugal. ' Department of Aerospace Sciences, University of Beira Interior, 6200-358 Covilhã, Portugal automatic dependent surveillance broadcast ADS-B CNS/ ATM Santa Maria FIR Portugal air traffic management air traffic control Azores. 2012-03-03T23:20:50-05:00 1 3 162 180 2012-03-03T23:20:50-05:00 http://www.inderscience.com/link.php?id=45738 This paper deals with the viability analysis of the implementation of RNAV and RNP AR approaches to Pico Island airport in the Azorean archipelago. The main objective is to prove that this new type of approach technology can be implemented in the Azorean islands airports in accordance with the ICAO rules providing an increase in safety and lowering approach minima thus reducing the costs associated with the operation and maintenance of the traditional approach systems. RNAV and RNP AR approach systems: the case for Pico Island airport
Duarte M.C. Medeiros; Jorge M.R. Silva; Kouamana Bousson
International Journal of Aviation Management, Vol. 1, No. 3 (2012) pp. 181 - 200
This paper deals with the viability analysis of the implementation of RNAV and RNP AR approaches to Pico Island airport in the Azorean archipelago. The main objective is to prove that this new type of approach technology can be implemented in the Azorean islands airports in accordance with the ICAO rules providing an increase in safety and lowering approach minima thus reducing the costs associated with the operation and maintenance of the traditional approach systems.

]]> 10.1504/IJAM.2012.045738 International Journal of Aviation Management, Vol. 1, No. 3 (2012) pp. 181 - 200 Duarte M.C. Medeiros; Jorge M.R. Silva; Kouamana Bousson Department of Aerospace Sciences, University of Beira Interior, 6200-358 Covilhã, Portugal. ' Department of Aerospace Sciences, University of Beira Interior, 6200-358 Covilhã, Portugal. ' Department of Aerospace Sciences, University of Beira Interior, 6200-358 Covilhã, Portugal RNP AR approach systems area navigation APV approach systems ICAO rules Pico Island airport Azores required navigation performance authorization required approach procedures vertical guidance aircraft approach. 2012-03-03T23:20:50-05:00 1 3 181 200 2012-03-03T23:20:50-05:00 http://www.inderscience.com/link.php?id=45739 Privatisation of world airports is a global trend. The implications of ownership transfers have been assessed from various standpoints, especially operational and economic efficiency. This paper considers the urban planning implications through the lens of the Australian experience. While most jurisdictions maintain planning systems regardless of airport ownership, privatisation of approximately 20 airports owned and operated by the Australian government saw the institution of a new planning approvals regime. While this reform introduced more demanding environmental requirements, it sits outside state and local government regulations which control most land use planning in Australian cities. The paper canvasses the tensions which have arisen and pathways to their resolution. Developing a new urban planning regime for privatised airports: the Australian experience
Robert Freestone
International Journal of Aviation Management, Vol. 1, No. 3 (2012) pp. 201 - 216
Privatisation of world airports is a global trend. The implications of ownership transfers have been assessed from various standpoints, especially operational and economic efficiency. This paper considers the urban planning implications through the lens of the Australian experience. While most jurisdictions maintain planning systems regardless of airport ownership, privatisation of approximately 20 airports owned and operated by the Australian government saw the institution of a new planning approvals regime. While this reform introduced more demanding environmental requirements, it sits outside state and local government regulations which control most land use planning in Australian cities. The paper canvasses the tensions which have arisen and pathways to their resolution.

]]> 10.1504/IJAM.2012.045739 International Journal of Aviation Management, Vol. 1, No. 3 (2012) pp. 201 - 216 Robert Freestone Faculty of the Built Environment, University of New South Wales, Sydney NSW 2052, Australia privatisation urban planning Australian airports Australia privatised airports environmental requirements land use planning. 2012-03-03T23:20:50-05:00 1 3 201 216 2012-03-03T23:20:50-05:00 http://www.inderscience.com/link.php?id=45740 Personal aviation represented 9% of the aircraft movement in Europe in 2006, and it is expected to grow over the coming years. According to the European Personal Air Transportation System (EPATS) study, Spain, along with France and Italy, are the European countries with greater growth prospects. The objective of this paper is to present research results focused on the potential growth of the personal aviation market in Spain and its regions. The research is mainly based on the secondary data of a survey (Movilia) from the Spanish Ministry of Public Works and Transport. Small aircraft as a means of transport in Spain
Javier Romero; Miguel Palacios; Javier Tafur
International Journal of Aviation Management, Vol. 1, No. 3 (2012) pp. 217 - 229
Personal aviation represented 9% of the aircraft movement in Europe in 2006, and it is expected to grow over the coming years. According to the European Personal Air Transportation System (EPATS) study, Spain, along with France and Italy, are the European countries with greater growth prospects. The objective of this paper is to present research results focused on the potential growth of the personal aviation market in Spain and its regions. The research is mainly based on the secondary data of a survey (Movilia) from the Spanish Ministry of Public Works and Transport.

]]> 10.1504/IJAM.2012.045740 International Journal of Aviation Management, Vol. 1, No. 3 (2012) pp. 217 - 229 Javier Romero; Miguel Palacios; Javier Tafur Aerospace, Transport and Security Department, Centre for the Development of Industrial Technology (CDTI), Cid 1, 28001-Madrid, Spain. ' Departamento de Ingeniería de Organización, Administración de Empresas y Estadística, Escuela Técnica Superior de Ingenieros Industriales, Universidad Politécnica de Madrid, José Gutiérrez Abascal, 2, Madrid, Spain. ' Departamento de Ingeniería de Organización, Administración de Empresas y Estadística, Escuela Técnica Superior de Ingenieros Industriales, Universidad Politécnica de Madrid, Pza. de Cardenal Cisneros, 3, Madrid, Spain small aircraft personal air transport personal aviation market personal mobility Spain. 2012-03-03T23:20:50-05:00 1 3 217 229 2012-03-03T23:20:50-05:00