Development of a Middleware between SUMO simulation tool and JaCaMo framework

  • Alexis Van Haare Heijmeijer
    Universidade Tecnológica Federal do Paraná aheijmeijer[at]uol.com.br
  • Gleifer Vaz Alves
    Universidade Tecnológica Federal do Paraná

Abstract

Smart City has an infrastructure that works with technology to reduce daily problems. The lack of parking spots is one of these problems that can be controlled by creating Smart Parking systems. The MAPS (Multi-Agent Parking System) project studies and develops multi-agent systems for smart parking using JaCaMo framework to implement agents and artifacts. This paper presents the so-called MAPS-SUMO, a middleware between the MAPS project and SUMO, a simulation tool used for urban traffic. Our middleware allows a graphical representation for the simulation executed by MAPS agents.
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Baines, V., and Padget, J., 2014. A situational awareness approach to intelligent vehicle agents. In SUMO2014 – Modeling Mobility with Open Data. 24:1-17.

Batista Júnior, A. A., and Coutinho, L. R., 2013. Incorporating explicit coordination mechanisms by agents to obtain green waves. In Advanced Methods and Technologies for Agent and Multi-Agent Systems. 252:137-145. doi: 10.3233/978-1-61499-254-7-137.

Batty, M, Axhausen, K., Fosca, G., Pozdnoukhov, A., Bazzani, A., Wachowicz, M., Ouzounis, G., and Portugali, Y., 2012. Smart Cities of the Futures. The European Physical Journal: Special Topics. 2014:481-518. Springer. doi: 10.1140/epjst/e2012-01703-3.

Behrisch, M., Bieker, L., Erdmann, J., E Krajzewicz, D., 2011. SUMO – Simulation of Urban Mobility. In SIMUL 2011 – The Third International Conference on Advances in System Simulation, pages 55-60. Iaria. ISBN: 978-1-61208-169-4.

Boissier, O., Bordini, R., Hübner, J., Ricci, A., and Santi, A., 2013. Multi-Agent oriented programming with JaCaMo. In Science of Computer Programming. 78(6):747-761. Elsevier. doi:10.1016/j.scico.2011.10.004.

Castro, L., Alves, G., and Borges, A., 2017. Using trust degree for agents in order to assign spots in a Smart Parking. In ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal. 6(2):45-55. doi: 10.14201/ADCAIJ2017624555.

Denatran. Departamento Nacional de Trânsito, Available at <http://www.denatran.gov.br/frota2016.htm>. Last accessed on November 2017.

Deutsche Telekom, 2014. Deutsche Telekom and Pisa start Smart City project. In Mobile World Con-gress 2014.

Koster, A., Koch, F., and Bazzan, A., 2014. Incentivising Crowdsourced Parking Solutions. In Citizen in Sensor Networks. Springer International Publishing. 8313:36-43. doi: 10.1007/978-3-319-04178-0_4.

Krajzewicz, D., Bonert, M., and Wagner, P., 2006. The open source traffic simulation package SUMO. In RoboCup 2006 Infrastructure Simulation Competition.

Krajzewicz, D., Erdmann, J., Behrisch, M., and Bieker, L., 2012. Recent development and applications of SUMO – Simulation of Urban Mobility. In International Journal on Advances in Systems and Meas-urements, 5(3&4):128-138. ISSN 1942-261x.

Revathi, G., and Dhulipala, V., 2012. Smart parking Systems and Sensors: A Survey. In Computing, Communication and Applications (ICCCA), pages 1-5. doi:10.1109/ICCCA.2012.6179195.

Wooldridge, M., 2009. An Introduction to MultiAgent Systems. Wiley Publishing, 2nd edition. ISBN 0470519460, 9780470519462.
Van Haare Heijmeijer, A., & Vaz Alves, G. (2018). Development of a Middleware between SUMO simulation tool and JaCaMo framework. ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 7(2), 5–15. https://doi.org/10.14201/ADCAIJ201872515

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Author Biography

Alexis Van Haare Heijmeijer

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Universidade Tecnológica Federal do Paraná
Informatics DepartmentBachelor of Computer Science
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