Smart Mobility

Smart mobility leverages technological advancements to optimize transportation systems, aiming for increased efficiency, safety, and sustainability. Current research focuses on developing AI-powered multi-agent systems, often employing deep learning models like federated neural networks and reinforcement learning, to manage traffic flow, predict travel patterns, and allocate resources dynamically across edge and cloud computing infrastructures. These efforts are significant because they address critical challenges in urban planning, transportation management, and environmental impact, offering potential for improved urban living and reduced carbon emissions.