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 ...
New software, developed by the University of Sheffield spin-out AENi aims to transform how the world's essential net-zero infrastructure is planned. The new digital platform will help the ...
Abstract: In large-scale satellite networks, end-to-end data delivery confronts long propagation latency and dynamical connectivity, heavily challenging current routing strategies due to the ...
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 ...
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