Developing a smart parking solution based on a Holonic Multiagent System using JaCaMo Framework

• Lucas Fernando Souza de Castro UTFPR
• André Pinz Borges UTFPR
• Gleifer Vaz Alves UTFPR

DOI: https://doi.org/10.5753/wesaac.2018.33270

Resumo

A smart city is described as an intelligent city composed of technological services to improve the human life in a way to make it easier and practical. One of the most costly things to optimize in a smart city is the traffic, particularly, the process of looking for a parking space. Therefore, some computer solutions have been developed to provide a parking space an autonomous way in a smart city, and one of them is using Multiagent System (MAS). This paper proposes a Holonic Multiagent System (HMAS) to assign and manage parking spaces in a smart parking system called Holonic Multiagent Parking System (MAPS-HOLO) developed through JaCaMo Framework which comprises three layers of MAS programming: agent, environment and normative programming. Besides the assign parking space process, the system will be able to handle runtime agents failures in different levels: driver agent, sector agent, and manager agent failure.

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