Doctorat d’Informatique

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Issues de la simulation basée crowdsourcing pour l’informatique verte
(university of bordj bou arreridj, 2025) Bilal BENCHARIF
In this thesis, we propose an innovative approach to optimize logistics systems by integrating crowdsourced real-time data collected via the Google Distance Matrix API. By leveraging a probabilistic tabu search algorithm, we have developed a framework ai med at improving the management of delivery routes in the context of green computing. Experiments conducted on both simulated and real data reveal that speed has a decisive impact on energy consumption. Furthermore, the analysis demonstrates that the trave led distance alone is not a reliable indicator of energy usage—indeed, a longer route does not necessarily imply higher energy consumption, especially when coupled with optimized traffic conditions. These results underscore the potential of collaborative approaches in transforming sustainable logistics and open up new perspectives for optimizing transpor tation syste