Abstract: As more and more people buy electric vehicles (EVs), we need smart routing and charging systems to make them more energy-efficient and reduce traffic jams. This paper suggests a real-time ...

Abstract: Low Earth orbit (LEO) satellite networks have become increasingly important for providing global communication services. However, the highly dynamic topology and uneven load distribution in ...

first learning of human drivers, which then 'mutate` to CAVs, are trained to optimize routing policies with the implemented algorithm. When the training is finished, it uses raw results to compute a ...

Research-ready implementation of reinforcement learning algorithms applied to transportation optimization problems, including vehicle routing, traffic management, and fleet optimization. This project ...