Air traffic assignment to reduce population noise exposure using activity-based approach
Samo za registrovane korisnike
2018
Članak u časopisu (Objavljena verzija)
Metapodaci
Prikaz svih podataka o dokumentuApstrakt
Aircraft noise has been regarded as one of the major environmental issues related to air transport. Many airports have introduced a variety of measures to reduce its impact. Several air traffic assignment strategies have been proposed in order to allocate noise more wisely. Even though each decision regarding the assignment of aircraft to routes should consider population exposure to noise, none of the air traffic assignment strategies has addressed daily migrations of population and number of people exposed to noise. The aim of this research is to develop a mathematical model and a heuristic algorithm that could assign aircraft to departure and arrival routes so that number of people exposed to noise is as low as possible, taking into account temporal and spatial variations in population in an airport's vicinity. The approach was demonstrated on Belgrade airport to show the benefits of the proposed model. Numerical example showed that population exposure to noise could be reduced sign...ificantly by applying the proposed air traffic assignment model. As a consequence of the proposed air traffic assignment, overall fuel consumption increased by less than 1%.
Ključne reči:
Noise abatement measure / Heuristic algorithm / Daily migration / AirportIzvor:
Transportation Research Part D: Transport and Environment, 2018, 63, 58-71Izdavač:
- Pergamon-Elsevier Science Ltd, Oxford
Finansiranje / projekti:
- Ministry of Science and Technological Development of the Republic of Serbia
- Podrška održivom razvoju sistema vazdušnog saobraćaja Republike Srbije (RS-MESTD-Technological Development (TD or TR)-36033)
DOI: 10.1016/j.trd.2018.04.012
ISSN: 1361-9209
WoS: 000442978000005
Scopus: 2-s2.0-85046486777
Institucija/grupa
Fakultet organizacionih naukaTY - JOUR AU - Ganić, Emir AU - Babić, Obrad AU - Čangalović, Mirjana AU - Stanojević, Milan PY - 2018 UR - https://rfos.fon.bg.ac.rs/handle/123456789/1786 AB - Aircraft noise has been regarded as one of the major environmental issues related to air transport. Many airports have introduced a variety of measures to reduce its impact. Several air traffic assignment strategies have been proposed in order to allocate noise more wisely. Even though each decision regarding the assignment of aircraft to routes should consider population exposure to noise, none of the air traffic assignment strategies has addressed daily migrations of population and number of people exposed to noise. The aim of this research is to develop a mathematical model and a heuristic algorithm that could assign aircraft to departure and arrival routes so that number of people exposed to noise is as low as possible, taking into account temporal and spatial variations in population in an airport's vicinity. The approach was demonstrated on Belgrade airport to show the benefits of the proposed model. Numerical example showed that population exposure to noise could be reduced significantly by applying the proposed air traffic assignment model. As a consequence of the proposed air traffic assignment, overall fuel consumption increased by less than 1%. PB - Pergamon-Elsevier Science Ltd, Oxford T2 - Transportation Research Part D: Transport and Environment T1 - Air traffic assignment to reduce population noise exposure using activity-based approach EP - 71 SP - 58 VL - 63 DO - 10.1016/j.trd.2018.04.012 UR - conv_2086 ER -
@article{ author = "Ganić, Emir and Babić, Obrad and Čangalović, Mirjana and Stanojević, Milan", year = "2018", abstract = "Aircraft noise has been regarded as one of the major environmental issues related to air transport. Many airports have introduced a variety of measures to reduce its impact. Several air traffic assignment strategies have been proposed in order to allocate noise more wisely. Even though each decision regarding the assignment of aircraft to routes should consider population exposure to noise, none of the air traffic assignment strategies has addressed daily migrations of population and number of people exposed to noise. The aim of this research is to develop a mathematical model and a heuristic algorithm that could assign aircraft to departure and arrival routes so that number of people exposed to noise is as low as possible, taking into account temporal and spatial variations in population in an airport's vicinity. The approach was demonstrated on Belgrade airport to show the benefits of the proposed model. Numerical example showed that population exposure to noise could be reduced significantly by applying the proposed air traffic assignment model. As a consequence of the proposed air traffic assignment, overall fuel consumption increased by less than 1%.", publisher = "Pergamon-Elsevier Science Ltd, Oxford", journal = "Transportation Research Part D: Transport and Environment", title = "Air traffic assignment to reduce population noise exposure using activity-based approach", pages = "71-58", volume = "63", doi = "10.1016/j.trd.2018.04.012", url = "conv_2086" }
Ganić, E., Babić, O., Čangalović, M.,& Stanojević, M.. (2018). Air traffic assignment to reduce population noise exposure using activity-based approach. in Transportation Research Part D: Transport and Environment Pergamon-Elsevier Science Ltd, Oxford., 63, 58-71. https://doi.org/10.1016/j.trd.2018.04.012 conv_2086
Ganić E, Babić O, Čangalović M, Stanojević M. Air traffic assignment to reduce population noise exposure using activity-based approach. in Transportation Research Part D: Transport and Environment. 2018;63:58-71. doi:10.1016/j.trd.2018.04.012 conv_2086 .
Ganić, Emir, Babić, Obrad, Čangalović, Mirjana, Stanojević, Milan, "Air traffic assignment to reduce population noise exposure using activity-based approach" in Transportation Research Part D: Transport and Environment, 63 (2018):58-71, https://doi.org/10.1016/j.trd.2018.04.012 ., conv_2086 .