Supporting code and data for: Dynamic capacity balancing in urban airspace: comparing historical and real-time aggregate flow data

4TU.ResearchDatavia 4TU.ResearchData (via DataCite) · bijgewerkt 30 oktober 2024

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This repository contains some supporting data and code for the 2024 SESAR Innovation Days Conference paper "Dynamic capacity balancing in urban airspace: comparing historical and real-time aggregate flow data." Note that this is a continuation of the work published here: Morfin Veytia, Andres; Ellerbroek, Joost; Hoekstra, Jacco (2024): Supporting data and code for Decentralised Traffic Management for Constrained Urban Airspace: Dynamically Generating and Acting Upon Aggregate Flow Data. Version 2. 4TU.ResearchData. dataset. https://doi.org/10.4121/54825f14-8743-447d-8346-3afa46d319d6.v2 Therefore, much of the data and code is similar. However, this work provides some additional code and scenarios. The main components need to reproduce the results are: BlueSky simulator code to reproduce the simulations.Post processing code for the scenarios to generate the plots in the paper and logs.Voronoi creation codePython environment description. 1. 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. The plugins …

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