Mobility Data-Driven Planning of Electric Vehicle Charging Infrastructure for Decarbonizing Energy and Transport Systems
Abstract: The adoption of electric vehicles (EVs) is widely accepted as a fundamental approach to mitigating climate change for a sustainable future with cleaner energy and transport systems. Furthermore, the technological advancements in batteries and chargers enable the massive deployment of EVs. However, the lack of planning for charging infrastructure and consumers’ concerns known as “range anxiety” are amongst the top barriers to the wide adoption of EVs. This project aims to develop a paradigm for data-driven modelling of EV behavours, optimisation for EV charging station planning, and AI-based pricing design for EV charging coordination. The outcomes of this project will provide new models and algorithms for energy-transport integration, advancing the knowledge of mitigation strategies for sustainable urban development.