SOURCE-LINKED INTELLIGENCE
Choose Your Game Wisely: Measuring Game-Theoretic Structures in Real-World Vehicle Interactions
Game-theoretic models provide principled frameworks for modeling vehicle interactions, but their underlying temporal assumptions have not been systematically examined against real-world driving behavior. In particular, it remains unclear how simultaneous, sequential, and asymmetric interaction structures can be measured from vehicle trajectories. This paper develops a trajectory-based interaction measurement framework to identify interaction events and quantify behavioral change onset, temporal organization, post-onset response dynamics, and ordering stability. The framework uses behavioral de
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-26T15:32:46.000Z
First collected: 2026-09-21T09:11:58.312Z. This is not the publication date.