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Intelligent electric vehicle charging recommendation based on multi-agent reinforcement learning
Electric Vehicle (EV) has become a preferable choice in the modern transportation system
due to its environmental and energy sustainability. However, in many large cities, EV drivers …
due to its environmental and energy sustainability. However, in many large cities, EV drivers …
Fleet rebalancing for expanding shared e-mobility systems: A multi-agent deep reinforcement learning approach
The electrification of shared mobility has become popular across the globe. Many cities have
their new shared e-mobility systems deployed, with continuously expanding coverage from …
their new shared e-mobility systems deployed, with continuously expanding coverage from …
An intelligent recommendation for intelligently accessible charging stations: Electronic vehicle charging to support a sustainable smart tourism city
The world is entering an era of awareness of the preservation of natural energy
sustainability. Therefore, electric vehicles (EVs) have become a popular alternative in …
sustainability. Therefore, electric vehicles (EVs) have become a popular alternative in …
FairCharge: A data-driven fairness-aware charging recommendation system for large-scale electric taxi fleets
Our society is witnessing a rapid taxi electrification process. Compared to conventional gas
taxis, a key drawback of electric taxis is their prolonged charging time, which potentially …
taxis, a key drawback of electric taxis is their prolonged charging time, which potentially …
bCharge: Data-driven real-time charging scheduling for large-scale electric bus fleets
We are witnessing a rapid growth of electrified vehicles because of the ever-increasing
concerns over urban air quality and energy security. Compared with other electric vehicles …
concerns over urban air quality and energy security. Compared with other electric vehicles …
RLCharge: Imitative multi-agent spatiotemporal reinforcement learning for electric vehicle charging station recommendation
Electric Vehicle (EV) has become a preferable choice in the modern transportation system
due to its environmental and energy sustainability. However, in many large cities, EV drivers …
due to its environmental and energy sustainability. However, in many large cities, EV drivers …
Joint charging and relocation recommendation for e-taxi drivers via multi-agent mean field hierarchical reinforcement learning
Nowadays, most of the taxi drivers have become users of the relocation recommendation
service offered by online ride-hailing platforms (eg, Uber and Didi Chuxing), which could …
service offered by online ride-hailing platforms (eg, Uber and Didi Chuxing), which could …
Experience: Understanding long-term evolving patterns of shared electric vehicle networks
Due to the ever-growing concerns on the air pollution and energy security, many cities have
started to update their taxi fleets with electric ones. Although environmentally friendly, the …
started to update their taxi fleets with electric ones. Although environmentally friendly, the …
Optimizing the locations and sizes of solar assisted electric vehicle charging stations in an urban area
With the wide-spread adoption of electric vehicles (EVs), introducing solar energy in building
EV charging stations is promising as it can reduce carbon emissions and improve air quality …
EV charging stations is promising as it can reduce carbon emissions and improve air quality …
[HTML][HTML] Optimal placement of charging stations in road networks: a reinforcement learning approach with attention mechanism
With the aim of promoting energy conservation and emission reduction, electric vehicles
(EVs) have gained significant attention as a strategic industry in many countries. However …
(EVs) have gained significant attention as a strategic industry in many countries. However …