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About

Gustav Markkula is a researcher specializing in human behavior modeling, autonomous vehicles, and human-robot interaction, with a particular focus on understanding how road users — especially drivers and pedestrians — interact with each other and with automated systems. His work sits at the intersection of cognitive science, game theory, and transportation engineering, addressing one of the most pressing challenges in vehicle automation: enabling autonomous vehicles to navigate safely and efficiently alongside unpredictable human road users. Markkula's most cited contribution, "Empirical game theory of pedestrian interaction for autonomous vehicles" (2018, 42 citations), tackled the critical question of how AVs should respond to pedestrians without defaulting to overly cautious, traffic-disrupting behavior. His subsequent research has interrogated the assumptions underlying game-theoretic models of road user behavior, notably demonstrating in a 2023 paper (14 citations) that real driver-pedestrian interactions deviate meaningfully from Nash equilibrium predictions. He has also contributed important theoretical perspectives on how precise human behavioral models need to be for practical human-robot interaction applications. Collectively, Markkula's work provides foundational insights for engineers and policymakers designing safer, more socially intelligent autonomous vehicles, making him a significant voice in the growing field of AV behavioral modeling.