https://github.com/auralius/richards-how
Aircraft Trajectory Planning With Collision Avoidance Using Mixed Integer Linear Programming by Arthur Richards and Jonathan P. How (10.1109/ACC.2002.1023918)
https://github.com/auralius/richards-how
cvxpy mixed-integer-linear-programming optimization paper-reproduction trajectory-optimization
Last synced: 3 months ago
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Aircraft Trajectory Planning With Collision Avoidance Using Mixed Integer Linear Programming by Arthur Richards and Jonathan P. How (10.1109/ACC.2002.1023918)
- Host: GitHub
- URL: https://github.com/auralius/richards-how
- Owner: auralius
- Created: 2024-05-07T19:49:50.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-05-18T13:22:53.000Z (about 1 year ago)
- Last Synced: 2025-02-01T10:27:08.336Z (5 months ago)
- Topics: cvxpy, mixed-integer-linear-programming, optimization, paper-reproduction, trajectory-optimization
- Language: Jupyter Notebook
- Homepage:
- Size: 2.05 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# richards-how
---
Aircraft Trajectory Planning With Collision Avoidance Using Mixed Integer Linear Programming by Arthur Richards and Jonathan P. How (10.1109/ACC.2002.1023918)
---This is an attempt to reproduce the aforementioned paper by using CVXPY as the main framework.
There are several solvers (mixed-integer linear programming) that can be used, such as: SCIP, SCIPY, GLPK_MI, CBC, MOSEK, GUROBI and CPLEX.
Each of these solvers may give different results.
---
**Also see Prof. Arthur Richards' implementation here (```aircraft_example.py```):**
**https://github.com/arthurrichards77/pytro**
---






