Electric Bus

Electric bus research focuses on optimizing their deployment and operation to maximize environmental and economic benefits. Current efforts concentrate on developing data-driven models, including machine learning and deep neural networks, to predict energy consumption, emissions, and optimal routing strategies based on real-world urban data. These advancements aim to improve the efficiency and effectiveness of electric bus fleets, providing valuable tools for urban planners and transit agencies to transition towards sustainable transportation systems. The resulting insights contribute to more informed decision-making regarding infrastructure planning and fleet management.