Optimization of Stockholm TMA + Unmanned Aerial Vehicles Traffic Management
| Title: |
Optimization of Stockholm TMA + Unmanned Aerial Vehicles Traffic Management |
| DNr: |
NAISS 2023/22-109 |
| Project Type: |
NAISS Small Compute |
| Principal Investigator: |
Tatiana Polishchuk <tatiana.polishchuk@liu.se> |
| Affiliation: |
Linköpings universitet |
| Duration: |
2023-02-01 – 2024-02-01 |
| Classification: |
20105 |
| Homepage: |
https://sites.google.com/view/aeargroup/home |
| Keywords: |
|
Abstract
The proposal consists of the following two research parts:
Part 1: Optimization of Stockholm TMA in 4d scale
Part 2: Unmanned Aerial Vehicles Traffic Management (UTM)
Part 1 is a continuation of our previous project Optimization of Stockholm TMA in 4dscale (SNIC 2021/5-23), a collaborative project LIU+LFV (Luftfartsverket), in which we work on optimization of the aircraft arrival routes within Stockholm airspace. The problem is formulated as a Mixed-Integer program (MIP) and is implemented using Python and Gurobi solver.
Part 2 of the project consists of several different projects (both Swedish- and European-funded) in which we work on developing a body of research to support establishing an efficient UTM system for future dense urban unmanned traffic.
