Overtaking Maneuvers on a Nonplanar Racetrack
Thomas Fork, H. Eric Tseng, Francesco Borrelli

TL;DR
This paper introduces a game-theoretic approach combined with a novel vehicle model to compute overtaking strategies on nonplanar racetracks, enabling successful maneuvers where simpler models fail.
Contribution
It presents a new vehicle modeling approach for nonplanar surfaces and applies game theory to optimize overtaking strategies in complex racing scenarios.
Findings
Overtaking strategies are effective on nonplanar tracks using the new model.
Game-theoretic equilibria guide successful overtaking maneuvers.
Nonplanar vehicle dynamics enable overtaking where traditional models cannot.
Abstract
We leverage game theory and a new vehicle modeling approach to compute overtaking maneuvers for racecars on a nonplanar surface. We solve for equilibria between noncooperative racing agents and demonstrate that by leveraging the novel nonplanar vehicle dynamics, overtaking can be achieved in situations where simpler models can do not provide a winning strategy.
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Taxonomy
TopicsArtificial Intelligence in Games · Sports Analytics and Performance · Traffic control and management
