Efficient Driving
Efficient driving research focuses on developing algorithms and models that optimize vehicle performance while minimizing fuel consumption and maximizing safety, particularly in complex traffic scenarios like roundabouts. Current approaches leverage reinforcement learning, often combined with techniques like deep Q-networks and Kolmogorov-Arnold networks, to learn optimal driving strategies from data, sometimes incorporating cognitive models of human behavior for improved prediction and safety. These advancements hold significant potential for reducing transportation's environmental impact and improving traffic flow, with applications ranging from autonomous vehicle control to driver assistance systems.
Papers
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