The field of electric vehicle charging is shifting towards more efficient and sustainable solutions. Researchers are exploring innovative approaches to optimize charging station locations, minimize congestion, and reduce greenhouse gas emissions. The focus is on developing data-driven systems that integrate multiple factors, such as geographical feasibility, traffic flow, and environmental impact. Additionally, there is a growing emphasis on evaluating the consequential emissions from electric vehicle charging and developing strategies to minimize them. Notable papers in this area include:

• A study on optimizing electric vehicle charging station locations using a data-driven system with multi-source fusion, which provides a platform for discussion on future charging station placement.
• A paper on charging while driving lanes, which investigates the effects of such lanes on traffic flow and emissions, highlighting the need for careful design and policy considerations.
• A research on a multi-agent, laxity-based aggregation strategy for cost-effective electric vehicle charging and local transformer overload prevention, which introduces a simple yet effective approach to prioritize charging flexibility.
• A work on evaluating consequential greenhouse gas emissions from electric vehicle charging, which emphasizes the importance of considering changes in installed capacity and induced changes in generation and storage capacity.