A new reinforcement learning algorithm, PIESMC, generates representative driving cycles from real vehicle data and reports lower kinematic metric errors than micro-trip and Markov-chain baselines.
Fuel consumption and CO2 emissions from passenger cars in Europe—Laboratory versus real-world emissions,
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A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle
A new reinforcement learning algorithm, PIESMC, generates representative driving cycles from real vehicle data and reports lower kinematic metric errors than micro-trip and Markov-chain baselines.