https://iolab.uniud.it/tag/electric-vehicles/Electric VehiclesHugo Blox Builder (https://hugoblox.com)en-USFri, 01 Oct 2021 15:55:48 +0200https://iolab.uniud.it/media/logo_hu_1bf0f7e2664ed9eb.pnghttps://iolab.uniud.it/tag/electric-vehicles/https://iolab.uniud.it/project/smart_waste_collection/Fri, 01 Oct 2021 15:55:48 +0200https://iolab.uniud.it/project/smart_waste_collection/<p>This industrial PhD project, carried out from 2021 to 2025 in collaboration with <strong>AcegasApsAmga</strong>, investigated models and algorithms for the intelligent management of waste collection using electric-vehicle fleets.</p> <p>The research addresses operational constraints that are often absent from standard routing models: periodic collection plans, intermediate disposal facilities, heterogeneous services, electric-vehicle range, and nonlinear battery charging. The resulting methods combine mathematical optimization and local-search metaheuristics to improve operational efficiency and reduce environmental impact.</p> <h2 id="open-research-resources">Open research resources</h2> <p>The project produced reusable instances and experimental tools for two related problem families:</p> <ul> <li><a href="https://github.com/iolab-uniud/pvrpif-instances" target="_blank" rel="noopener">Periodic waste collection routing with intermediate facilities</a></li> <li><a href="https://github.com/iolab-uniud/wc-evrp-nl-instances" target="_blank" rel="noopener">Electric vehicle routing with nonlinear charging</a></li> </ul> <p>The work formed the basis of Francesco Taverna&rsquo;s PhD thesis, <em>Optimization Models and Algorithms for Sustainable Waste Collection</em>, defended in 2025.</p>