Fast-charging station for electric vehicles, challenges and issues: A comprehensive review

A Ghasemi-Marzbali - Journal of Energy Storage, 2022 - Elsevier
In recent years, many countries have set specific goals to replace fossil fuel vehicles with the
electric ones due to environmental concerns and issues related to energy supply security; it …

Ast-gin: Attribute-augmented spatiotemporal graph informer network for electric vehicle charging station availability forecasting

R Luo, Y Song, L Huang, Y Zhang, R Su - Sensors, 2023 - mdpi.com
Electric Vehicle (EV) charging demand and charging station availability forecasting is one of
the challenges in the intelligent transportation system. With accurate EV station availability …

Dense-tnt: Efficient vehicle type classification neural network using satellite imagery

R Luo, Y Song, H Zhao, Y Zhang, Y Zhang… - arXiv preprint arXiv …, 2022 - arxiv.org
Accurate vehicle type classification serves a significant role in the intelligent transportation
system. It is critical for ruler to understand the road conditions and usually contributive for the …

Stgin: A spatial temporal graph-informer network for long sequence traffic speed forecasting

R Luo, Y Song, L Huang, Y Zhang, R Su - arXiv preprint arXiv:2210.01799, 2022 - arxiv.org
Accurate long series forecasting of traffic information is critical for the development of
intelligent traffic systems. We may benefit from the rapid growth of neural network analysis …

A sumo framework for deep reinforcement learning experiments solving electric vehicle charging dispatching problem

Y Song, H Zhao, R Luo, L Huang, Y Zhang… - arXiv preprint arXiv …, 2022 - arxiv.org
In modern cities, the number of Electric vehicles (EV) is increasing rapidly for their low
emission and better dynamic performance, leading to increasing demand for EV charging …

Predicting electric vehicle charging stations occupancy: a federated deep learning framework

L Douaidi, SM Senouci, I El Korbi… - 2023 IEEE 97th …, 2023 - ieeexplore.ieee.org
Electric vehicles (EVs) have long been recognized as a solution to the shortage of fossil
fuels and the environmental problems associated with increasing CO2 emissions. However …

Data-Driven, Short-Term Prediction of Charging Station Occupation

R Aghsaee, C Hecht, F Schwinger, J Figgener, M Jarke… - Electricity, 2023 - mdpi.com
Enhancing electric vehicle infrastructure by forecasting the availability of charging stations
can boost the attractiveness of electric vehicles. The transportation sector plays a crucial role …

Lane change intent prediction based on multi-channel CNN considering vehicle time-series trajectory

Y Zhang, S Zhang, R Luo - 2022 IEEE 25th International …, 2022 - ieeexplore.ieee.org
Recent years, autonomous driving has always been a hot topic, which is regarded as an
important means to shape the future of transport. However, safety is always the essential of …

A novel dense generative net based on satellite remote sensing images for vehicle classification under foggy weather conditions

J Yuan, T Liu, H Xia, X Zou - IEEE Transactions on Geoscience …, 2023 - ieeexplore.ieee.org
Accurate vehicle-type classification plays a crucial role in the development of intelligent
transportation systems. Recently, several deep learning models have been proposed to …

Data-Driven Analysis of EV Energy Prediction and Planning of EV Charging Infrastructure

A Palaniappan, P Bhukya, SK Chitti… - 2023 IEEE Ninth …, 2023 - ieeexplore.ieee.org
To reduce the current crisis on energy and environmental problems, the adoption of electric
vehicles is an effective way. But limited access and availability of charging infrastructure are …