TeamDman/Vehicular-Game-Theory

Code for my Master's thesis, game theory for adversarial autonomous vehicle platooning scenarios

27
/ 100
Experimental

This project helps researchers and engineers analyze the security of autonomous vehicle platoons against adversarial attacks using game theory and reinforcement learning. It takes in simulated autonomous vehicle scenarios and outputs optimized strategies for both the vehicles and potential attackers. The primary users are autonomous vehicle security researchers and academic engineers.

No commits in the last 6 months.

Use this if you are exploring how autonomous vehicle platoons can defend against or be exploited by malicious actors in a simulated environment.

Not ideal if you need to test physical autonomous vehicles or are looking for a complete, production-ready security solution.

autonomous-vehicles vehicle-security game-theory reinforcement-learning transportation-research
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 6 / 25

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Stars

14

Forks

1

Language

Jupyter Notebook

License

MPL-2.0

Last pushed

Apr 28, 2023

Commits (30d)

0

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