Abstract
In the context of road urban traffic management, the problem of parking spots search is a major issue because of its serious economic and ecological fallout. In this paper, we propose a multi-agent system that aims to decrease, for private vehicles drivers, the parking spots search time. In the system that we propose, a community of drivers shares information about spots availability. Our solution has been tested following different configurations. The first results show a decrease in parking spots search time.
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Bessghaier, N., Zargayouna, M., Balbo, F. (2012). Management of Urban Parking: An Agent-Based Approach. In: Ramsay, A., Agre, G. (eds) Artificial Intelligence: Methodology, Systems, and Applications. AIMSA 2012. Lecture Notes in Computer Science(), vol 7557. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33185-5_31
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DOI: https://doi.org/10.1007/978-3-642-33185-5_31
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33184-8
Online ISBN: 978-3-642-33185-5
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