Abstract
Electric vehicles are already a reality in many cities around the world. However, the penetration of the electric vehicle depends on several factors, including the existence of an adequate network of charging stations. This article aims to address this problem by defining a multi-agent system (MAS) that collects information about the state of a city and proposes different configurations for the location of charging stations. More specifically, the proposed system integrates information from heterogeneous data sources and applies a genetic algorithm to characterize the areas where charging stations could potentially be located. The system has been tested with real information from the city of Valencia (Spain).
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General Urban Development Plan.
References
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Acknowledgments
This work was partially supported by MINECO/FEDER TIN2015-65515-C4-1-R and MOVINDECI project of the Spanish government.
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Jordán, J., Palanca, J., del Val, E., Julian, V., Botti, V. (2018). MASEV: A MAS for the Analysis of Electric Vehicle Charging Stations Location. In: Demazeau, Y., An, B., Bajo, J., Fernández-Caballero, A. (eds) Advances in Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection. PAAMS 2018. Lecture Notes in Computer Science(), vol 10978. Springer, Cham. https://doi.org/10.1007/978-3-319-94580-4_31
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DOI: https://doi.org/10.1007/978-3-319-94580-4_31
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