Transportation systems are undergoing rapid transformation as climate change, technological innovation, and evolving energy systems reshape how mobility is planned and managed. More frequent extreme weather events are placing new pressures on transport infrastructure, while cities seek solutions that improve efficiency, reduce emissions, and support resilient mobility networks. At the same time, closer integration between transportation and energy systems-along with advances in data science-creates new opportunities for modeling complex systems, informing policy, and guiding evidence-based decision-making for sustainable and secure transport futures. Clean Energy and Equitable Transportation Solutions critically examines transport and energy systems through an integrated lens of transportation, energy technologies, data science, and climate modeling. It investigates how transport modeling, energy system transitions, data-driven analysis, and computational climate-transport approaches operate under real-world constraints. Covering topics such as carbon neutrality, geospatial artificial intelligence (AI), and hydrogen-fueled trucking, this book provides a comprehensive academic resource for graduate and doctoral students, researchers, policymakers, and industry professionals across transportation engineering, energy systems, data science, climate science, and related fields.