Transportation Carbon Emission

Transportation accounts for a significant portion of global carbon emissions, and reducing these emissions is a critical objective for mitigating climate change. Current research focuses on improving the accuracy of emission estimations using large datasets and AI-driven methods like graph learning and machine learning, as well as simulating the impact of electric vehicle adoption and alternative transportation systems (e.g., autonomous shuttles) on emissions and grid infrastructure. These studies highlight the importance of considering factors like urban planning, traffic management (including the role of autonomous vehicles at intersections), and route optimization for electric vehicles to achieve substantial emission reductions. The findings inform the development of effective mitigation strategies and sustainable urban planning policies.