Interligação entre a ferramenta de simulação SUMO e o projeto MAPS

Abstract

Smart City is a city where its infrastructure works with technology improving the monitoring system and the city planning to reduce daily problems. The lack of parking spots is one of these problems that can be controlled by creating Smart Parking systems that can guide drivers to free spots. One way to implement a Smart Parking is through agents that communicate with each other, collect information from the environment, and send it to drivers. The project MAPS (MultiAgent Parking System) studies and develops Smart Parking solutions based on multiagent systems. MAPS is implemented using JaCaMo framework, which creates the agents using Jason programming language and develops the artifacts using Cartago. The use of simulation tools is essential to analyze the simulated environment behavior and to achieve better and more accurate results, especially when working with urban mobility. SUMO is a very powerful simulation tool that tries to obtain these results. This work presents the interconnection between SUMO and the project MAPS, proving that is possible to model a parking lot in SUMO and also to defines a middleware that connects the agents and artifacts, respectively implemented in Jason and Cartago, with the simulation tool.