Amir Hossein Kalantari

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About

Amir Hossein Kalantari is a rising scholar in transportation engineering and human-robot interaction, with a focus on modeling the complex dynamics between drivers and pedestrians. His work challenges conventional assumptions in traffic behavior by applying game theory to unsignalized crossings, revealing that real-world driver-pedestrian interactions do not align with the Nash equilibrium—a finding with profound implications for autonomous vehicle development. His most-cited paper, "Driver-Pedestrian Interactions at Unsignalized Crossings Are Not In Line With the Nash Equilibrium" (2023, 14 citations), demonstrates his ability to bridge theoretical frameworks and empirical observations. This research is critical for designing safer, more predictable automated systems that must navigate human unpredictability. Kalantari’s contributions are especially timely as vehicle automation advances, requiring robust simulations of human-robot road interactions. By highlighting the limitations of classical game theory in capturing actual behavior, he is shaping the next generation of traffic models. His work has quickly gained attention among transportation researchers and engineers, positioning him as an influential voice in the intersection of behavioral science, game theory, and autonomous systems.