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A review of reinforcement learning based energy management systems for electrified powertrains: Progress, challenge, and potential solution
AH Ganesh, B Xu - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
The impact of internal combustion engine-powered automobiles on climate change due to
emissions and the depletion of fossil fuels has contributed to the progress of electrified …
emissions and the depletion of fossil fuels has contributed to the progress of electrified …
[HTML][HTML] Leveraging reinforcement learning for dynamic traffic control: A survey and challenges for field implementation
In recent years, the advancement of artificial intelligence techniques has led to significant
interest in reinforcement learning (RL) within the traffic and transportation community …
interest in reinforcement learning (RL) within the traffic and transportation community …
Open-ti: Open traffic intelligence with augmented language model
Transportation has greatly benefited the cities' development in the modern civilization
process. Intelligent transportation, leveraging advanced computer algorithms, could further …
process. Intelligent transportation, leveraging advanced computer algorithms, could further …
EMVLight: A multi-agent reinforcement learning framework for an emergency vehicle decentralized routing and traffic signal control system
Emergency vehicles (EMVs) play a crucial role in responding to time-critical calls such as
medical emergencies and fire outbreaks in urban areas. Existing methods for EMV dispatch …
medical emergencies and fire outbreaks in urban areas. Existing methods for EMV dispatch …