Abstract
The port of Le Havre, “Grand Port Maritime du Havre (GPMH)”, is the first port in France and the fifth in the Europe’s top port list in terms of container volume. This massification in container traffic has generated a large use of trucks that are a source of diesel pollution. To address the greenhouse gas emissions related to port’s last mile logistic, a collaborative relationships are established between different parties of the port. This collaboration aims to create projects that can improve the air quality such as replacing conventional trucks by electric ones. In this context, our study aims to propose a strategic allocation of the infrastructure of charge for electric trucks. To this end, we adapt the technology Wireless Power Transfer that permit to an electric truck to charge its battery statically in a set of fixed nodes (breakpoints) or dynamically in a set of segments of the route during the electric trucks mobility. To model this problem, we propose an integer non-linear programming formulation. Afterward, we investigate the effectiveness of the population based algorithm particle swarm optimization to determine the efficient allocation.
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Acknowledgments
This research work was conducted as part of the Green Truck project. This project has received funding from Normandy region of France.
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Mouhrim, N., El Hilali Alaoui, A., Boukachour, J., Boudebous, D. (2018). Allocation of Static and Dynamic Wireless Power Transmitters Within the Port of Le Havre. In: Ben Ahmed, M., Boudhir, A. (eds) Innovations in Smart Cities and Applications. SCAMS 2017. Lecture Notes in Networks and Systems, vol 37. Springer, Cham. https://doi.org/10.1007/978-3-319-74500-8_10
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DOI: https://doi.org/10.1007/978-3-319-74500-8_10
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