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Researchers at Chalmers University of Technology in Sweden develop a new optimization method for driverless electric taxi fleets. Published in Transportation Research Part C in 2026, the study uses Bayesian neural networks to predict travel demand and deep reinforcement learning for real-time decisions.
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