Supporting data and code for Decentralised Traffic Management for Constrained Urban Airspace: Dynamically Generating and Acting Upon Aggregate Flow Data
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This repository contains some supporting data and code for the journal paper Decentralised separation for urban airspace: dynamically generating and acting upon aggregate flow data The main components are:Sensitivity analysis of clustering parametersIn depth results of example scenarios.BlueSky simulator code to reproduce the simulations.Logs of the simulation scenarios.Post processing code for the scenarios to generate the plots in the paper.Animations showing animations of the city-wide scenariosPython environment description. 1. Sensitivity analysis This includes the referenced sensitivity analysis in the paper. It tests the cluster distance, percent of high density airspace, and the additional cost multipliers to choose a well performing one for the paper. This includes the sensitivity analysis PDF file and the plotting code. We also performed some additional simulations to test the method in a different virtual network (Vienna). 2. BlueSky Simulator code This includes the BlueSky code for simulating the scenarios. This is the bluesky.zip folder. Note that the code provided is a condensed version of the one in https://github.com/amorfinv/bluesky/tree/rotterdam. Note that the …
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