A review on intelligent energy management systems for future electric vehicle transportation

Z Teimoori, A Yassine - Sustainability, 2022 - mdpi.com
Over the last few years, Electric Vehicles (EVs) have been gaining interest as a result of their
ability to reduce vehicle emissions. Develo** an intelligent system to manage EVs …

Intelligent electric vehicle charging recommendation based on multi-agent reinforcement learning

W Zhang, H Liu, F Wang, T Xu, H ** in recent years demands corresponding evolution in
delivery services in urban areas. To cater to this trend, delivery by the crowd has become an …

Coordinating matching, rebalancing and charging of electric ride-hailing fleet under hybrid requests

X Yu, Z Zhu, H Mao, M Hua, D Li, J Chen… - … Research Part D …, 2023 - Elsevier
Due to the potential to reduce energy consumption and greenhouse gas emission, electric
vehicles have been widely adopted in ride-hailing services Besides the frequently …

Two-sided deep reinforcement learning for dynamic mobility-on-demand management with mixed autonomy

J **e, Y Liu, N Chen - Transportation Science, 2023 - pubsonline.informs.org
Autonomous vehicles (AVs) are expected to operate on mobility-on-demand (MoD)
platforms because AV technology enables flexible self-relocation and system-optimal …

Beyond centralization: Non-cooperative perimeter control with extended mean-field reinforcement learning in urban road networks

X Li, X Zhang, X Qian, C Zhao, Y Guo… - … Research Part B …, 2024 - Elsevier
Perimeter control is a traffic management approach aimed at regulating vehicular
accumulation within urban regional networks by managing flows on all border-crossing …