Reliability of electric vehicle charging infrastructure: A cross-lingual deep learning approach
Vehicle electrification has emerged as a global strategy to address climate change and
emissions externalities from the transportation sector. Deployment of charging infrastructure …
emissions externalities from the transportation sector. Deployment of charging infrastructure …
Real-time data from mobile platforms to evaluate sustainable transportation infrastructure
OI Asensio, K Alvarez, A Dror, E Wenzel… - Nature …, 2020 - nature.com
By displacing gasoline and diesel fuels, electric cars and fleets reduce emissions from the
transportation sector, thus offering important public health benefits. However, public …
transportation sector, thus offering important public health benefits. However, public …
[HTML][HTML] Examining spatial disparities in electric vehicle charging station placements using machine learning
A Roy, M Law - Sustainable cities and society, 2022 - Elsevier
Electric vehicles (EV) are an emerging mode of transportation that has the potential to
reshape the transportation sector by significantly reducing carbon emissions thereby …
reshape the transportation sector by significantly reducing carbon emissions thereby …
Predicting popularity of electric vehicle charging infrastructure in urban context
The availability of charging infrastructure is essential for large-scale adoption of electric
vehicles (EV). Charging patterns and the utilization of infrastructure have consequences not …
vehicles (EV). Charging patterns and the utilization of infrastructure have consequences not …
Resilience of urban public electric vehicle charging infrastructure to flooding
An adequate charging infrastructure is key to enabling high personal electric vehicle (EV)
adoption rates. However, urban flooding—whose frequency and intensity are increasing due …
adoption rates. However, urban flooding—whose frequency and intensity are increasing due …
[HTML][HTML] Artificial deep neural network enables one-size-fits-all electric vehicle user behavior prediction framework
A Ahmadian, V Ghodrati, R Gadh - Applied Energy, 2023 - Elsevier
As greener mobility becomes the norm with the advent of electric vehicles (EVs), a natural
question arises: how big of a change are we seeing in terms of the stochastic energy …
question arises: how big of a change are we seeing in terms of the stochastic energy …
Integration of charging behavior into infrastructure planning and management of electric vehicles: A systematic review and framework
Increasing electric vehicle (EV) sales have shifted the focus of researchers from EV adoption
to new operational challenges such as charging infrastructure deployment and …
to new operational challenges such as charging infrastructure deployment and …
Deep learning approach for long-term prediction of electric vehicle (ev) charging station availability
Traffic prediction with high accuracy has significance towards traffic facilities scheduling,
adaptive traffic control logic, even the urban economic development. EV charging station …
adaptive traffic control logic, even the urban economic development. EV charging station …
CatCharger: Deploying wireless charging lanes in a metropolitan road network through categorization and clustering of vehicle traffic
The future generation of transportation system will be featured by electrified public
transportation. To fulfill metropolitan transit demands, electric vehicles (EVs) must be …
transportation. To fulfill metropolitan transit demands, electric vehicles (EVs) must be …
Topic classification of electric vehicle consumer experiences with transformer-based deep learning
The transportation sector is a major contributor to greenhouse gas (GHG) emissions and is a
driver of adverse health effects globally. Increasingly, government policies have promoted …
driver of adverse health effects globally. Increasingly, government policies have promoted …