Air traffic assignment to reduce population noise exposure using activity-based approach |
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| Institution: | 1. University of Belgrade, Faculty of Transport and Traffic Engineering, 305 Vojvode Stepe Street, 11000 Belgrade, Serbia;2. University of Belgrade, Faculty of Organizational Sciences, 154 Jove Ili?a Street, 11000 Belgrade, Serbia;1. Federal University of Technology – Parana, Av. Dos Pioneiros, 3131, Londrina, PR 86036-370, Brazil;2. State University of Londrina, Celso Garcia Cid, Pr 445, km 380, Londrina, PR 86051-990, Brazil;3. State University of Maringa, Av. Colombo, 5790 – Vila Esperança, Maringá, PR 87020-900, Brazil;4. Section of Pulmonology, Department of Medicine, Health Science Centre, State University of Londrina, Parana, Brazil;5. Department of Atmospheric Sciences, Institute of Astronomy, Geophysics and Atmospheric Sciences, University of São Paulo, São Paulo, Brazil;6. Global Centre for Clean Air Research (GCARE), Department of Civil and Environmental Engineering, Faculty of Engineering and Physical Sciences, University of Surrey, Guilford GU2 7XH, United Kingdom;7. Visiting Research at Lund University, Lund, Sweden;1. Eskisehir Technical University, Faculty of Aeronautics and Astronautics, TR-26470 Eskisehir, Turkey;2. TEI, Eskisehir, Turkey;1. Institute of Physics, University of Belgrade, Pregrevica 118, 11080 Belgrade, Serbia;2. Astronomical Observatory Belgade, Volgina 7, 11050 Belgrade, Serbia;3. School of Electrical and Computer Engineering of Applied Studies, Vojvode Stepe 283, 11000 Belgrade, Serbia;4. Faculty of Organizational Sciences, University of Belgrade, Jove Ili?a 154, 11000 Belgrade, Serbia;5. MBN Research Center, Altenhöferallee 3, 60438 Frankfurt am Main, Germany;6. The Open University, Department of Physical Sciences, Walton Hall, Milton Keynes MK7 6AA, United Kingdom;1. Department of Environmental Science and Management, Humboldt State University. 1 Harpst St, Arcata, CA 95521, United States;2. Schatz Energy Research Center, United States;3. Sustainable Transportation Initiative, Lawrence Berkeley National Laboratory, United States;4. Department of Civil and Environmental Engineering, University of California, Berkeley, United States;1. Department of Civil & Environmental Engineering, The University of Tennessee, United States;2. Department of Civil and Environmental Engineering & Senior Fellow, Howard H. Baker, Jr. Center for Public Policy, The University of Tennessee, United States;3. Travel Demand Modeler, Virginia Department of Transportation (VDOT), United States;1. Department of Earth and Environmental Science, University of Milan Bicocca, Piazza dell’Ateneo Nuovo 1, 20126 Milano, Italy;2. Department of Management, Information and Production Engineering, University of Bergamo, Via Pasubio 7, 24044 Dalmine (BG), Italy |
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| 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%. |
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| Keywords: | Airport Noise abatement measure Daily migration Heuristic algorithm |
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