Integrating a Multi-Agent Smart Parking System using Cloud Technologies

Milton Boos Junior, Lucas Sakurada, Paulo Leitão, Paulo Alves, Gleifer Vaz Alves, André Pinz Borges, Diego Roberto Antunes

Abstract: Smart parking (SP) systems are becoming a solution to address the increasing traffic in major cities, which are related to the traffic congestion, unnecessary time spent searching for parking spots, and, consequently, environmental issues. These systems intend to help drivers that are searching for available parking spaces in a given desired location. This paper presents a cloud-based solution to integrate a Multi-Agent System (MAS) for SP, which enables the modularization, scalability and robustness of such large-scale systems. The MAS abstraction is a suitable approach to represent the dynamic features of a SP, where multiple drivers arrive, request, search, and leave the parking spots. The cloud services enable to scale up the use of a MAS, being an intermediary in the communication between the MAS and the end user, providing a broad architecture that involves database, asynchronous functions activated by events and real-time message exchange. The cloud agent-based system was depl