Air traffic assignment to reduce population noise exposure using activity-based approach (Belgrade Nikola Tesla airport case study)

Published: 14 September 2017| Version 1 | DOI: 10.17632/znjn7f93ft.1


This dataset is related to the paper entitled "Air traffic assignment to reduce population noise exposure using activity-based approach". The aim of the 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 Nikola Tesla airport to show the benefits of the proposed model. All the data described here support the above-mentioned research and give the detailed description of the calculations conducted in order to backup the obtained results. The detailed description of each file is given below. 1. Air Traffic Data Realistic air traffic data was collected for one summer day with relatively heavy traffic (September 16th, 2016) for Belgrade Nikola Tesla airport. It includes information about origin and destination, aircraft type, actual take-off time (ATOT), arrival time, runway in use, and operation type (take-off or landing). In addition, air traffic assignment for Base Case and Heuristic algorithm Scenario is given and it includes SID/STAR route ID assigned to each operation. 2. Aircraft type Different aircraft types used in this research are presented here, along with the aircraft code for Integrated Noise Model (INM). 22 different aircraft types were classified into 11 groups since the sound exposure level (SEL) for some aircraft types differed by less than 1dB at the same location. 3. Calculated sound exposure level (SEL) data By using the Integrated Noise Model (INM) software, the sound exposure level (SEL) has been calculated for 11 aircraft types in fleet mix, flying over the 27 different departure and arrival routes, for each of the 17 different location separately. 4. Daily migrations According to the 2011 Census methodology, daily migrants are those persons who work or go to school/university outside the place of their usual residence, but who return on a daily basis or several times a week. In accordance with our request to the Statistical Office of the Republic of Serbia, a special processing of 2011 Census data was performed to meet our requirements for this research. 5. Departure and arrival routes Based on the radar data, all trajectories were classified into 27 routes, including 13 departure routes (seven from runway 12 and six from runway 30) and 14 arrival routes (seven from both runways). 6. Fuel Consumption Calculations Detailed fuel consumption calculations are given using the EMEP/EEA air pollutant emission inventory guidebook – 2016. 7. Locations Latitude, longitude, height and population is given for each of the 17 locations. 8. Population Noise Exposure Calculations The number of people annoyed by aircraft noise has been calculated by using the formula given by the European Commission and by using Noise Annoyance Index (SPI).


Steps to reproduce

Calculate Sound Exposure Level (SEL) using INM: 1. Create Belgrade airport case in INM 2. Import departure and arrival routes into INM 3. Import locations into INM 4. For each aircraft type and route calculate the sound exposure level (SEL) in each location.


Univerzitet u Beogradu Saobracajni Fakultet


Noise, Airport