Traffic Complexity 2014-2016 (BADA 3.6)

Complexity by ANSP, based on BADA version 3.6.

Discontinued. No longer updated. The series covers 2014 to 2016 and was released in December 2017.
NOTE: the two Traffic Complexity time series, 2014 - 2016 and 2017 - 2019, cannot be used joinly to study the full time span 2014 - 2019. In fact they use different BADA versions and hence different aircraft characteristics for the same aircraft type; this impacts the value of the Speed Different Interacting Flows and ultimately the Traffic Complexity Score.

Data and Resources

API

API name: traffic-complexity-2014-2016

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Code examples

curl

curl 'https://polaris.goens.dev/api/3/action/datastore_search?resource_id=traffic-complexity-2014-2016&limit=5'

Python

import pandas as pd

df = pd.read_csv('https://polaris.goens.dev/datastore/dump/traffic-complexity-2014-2016?format=csv')

R

df <- read.csv('https://polaris.goens.dev/datastore/dump/traffic-complexity-2014-2016?format=csv')

API documentation and rate limits

Cite this data

Source: EUROCONTROL Aviation Intelligence Unit. Traffic Complexity 2014-2016 (BADA 3.6). https://polaris.goens.dev/dataset/traffic-complexity-2014-2016

May be copied in whole or in part, provided that EUROCONTROL is mentioned as the source and it is not used for commercial purposes. Full disclaimer

About this data

The PRU, in close collaboration with ANSPs, has defined a set of complexity indicators that can be applied in ANSP benchmarking. The complexity indicators are computed on a systematic basis for each day of the year. The complexity indicators are based on the concept of “interactions” arising when there are two aircraft in the same “place” at the same time. Hence, the Complexity Score is a measure of the potential number of interactions between aircraft defined as the total duration of all interactions (in minutes) per flight-hour controlled in a given volume of airspace. The Complexity Score is the product of two components: Traffic density and Structural index.

The traffic density is expressed in Adjusted density which measures the (uneven) distribution of traffic throughout the airspace (i.e. taking into account the relative concentration). The measure relies on dividing the airspace volume into a discrete grid of 20 nautical mile cells. An interaction is defined as the simultaneous presence of two aircraft in a cell of 20x20 nautical miles and 3,000 feet in height.

The structural index originates from horizontal, vertical, and speed interactions and is computed as the sum of the three indicators.

Horizontal interactions index: A measure of the complexity of the flow structure based on the potential interactions between aircraft on different headings. The indicator is defined as the ratio of the duration of horizontal interactions to the total duration of all interactions.

Data sources

Published by
EUROCONTROL - Performance Review Unit (PRU)
Underlying data
Network Manager; Performance Review Unit
Contact
PRU-Support@eurocontrol.int

The table view shows where each column comes from, under Data Dictionary.

Notes from the source

  • Please note that the computation refers to airspace above flight level 100
  • See the report on Complexity Metrics for ANSP Benchmarking Analysis for more information on the methodologies used for the computation of the complexity score. https://www.eurocontrol.int/publications/report-complexity-metrics-ansp-benchmarking-analysis
Recent changes at the source
  • 2017-12-12: DHMI: Day needed reloading

Additional Info

Field Value
Update frequency Discontinued
Time resolution Daily
Data from 2014-01-01
Data to 2016-12-31
Data description https://ansperformance.eu/reference/dataset/traffic-complexity-score/
Methodology
Source page https://ansperformance.eu/data/