Abstract
Current infrastructures in modern cities are highly dependent on complex software-intensive systems, which are composed of many elements, including software, sensors, actuators, and processes. Citizens and managers are also important stakeholders in these systems, as they provide data, provide and retrieve information and also manage the many systems that control the city infrastructures’. UML has been often considered for designing these types of systems, mostly with focus only on designing the software elements of the system. However, these infrastructures systems are composed of many more elements than software, including processes, constraints, sensors, networks, laws and further documents. SysML is a UML profile that has gained attention in past years, as SysML also models systems elements that are not software. In this paper, the main idea is to describe a SysML profile for modeling smart cities applications, which is useful as it specifies common elements of a city as native elements of system design. The profile, named SmartCitySysML, extended from SysML Requirements, Sequence and Block Definition diagrams in order to model system and software elements for smart cities. Design of a road traffic control system regarding a group of intersections is used as a case study. As a result, SmartCitySysML facilitates the use of common elements in smart city infrastructures and provides a visual representation to assess quality of diagrams from a practical point of view.
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References
Albino, V., Berardi, U., Dangelico, R.M.: Smart cities: definitions, dimensions, performance, and initiatives. J. Urban Technol. 22(1), 3–21 (2015)
Batty, M., et al.: Smart cities of the future. Eur. Phys. J. Spec. Top. 214(1), 481–518 (2012)
Bibri, S.E.: On the sustainability of smart and smarter cities in the era of big data: an interdisciplinary and trans disciplinary literature review. J. Big Data 6(1), 25 (2019)
Bouazza, K.E., Deabes, W.: Smart petri nets temperature control framework for reducing building energy consumption. Sensors 19(11), 2441 (2019)
Friedenthal, S., Moore, A., Steiner, R.: A Practical Guide to SysML: The Systems Modeling Language. Morgan Kaufmann (2014)
Frooman, J.: Stakeholder influence strategies. Acad. Manag. Rev. 24(2), 191–205 (1999)
Giffinger, R., Fertner, C., Kramar, H., Meijers, E., et al.: City-ranking of European Medium-Sized Cities. Cent. Reg. Sci. Vienna UT, pp. 1–12 (2007)
Klein, L.A., Mills, M.K., Gibson, D.R.: Traffic Detector Handbook, vol. I, 3rd edn. U.S, Department of Transportation (2006)
Laplante, P.A.: Real-Time Systems Design and Analysis. Wiley Online Library (2004)
Latif, S., Rehman, A., Zafar, N.A.: Modeling of sewerage system linking UML, automata and TLA+. In: 2018 International Conference on Computing, Electronic and Electrical Engineering (ICE Cube), pp. 1–6. IEEE (2018)
Ma, Y., Li, G., Xie, H., Zhang, H.: City profile: using smart data to create digital urban spaces. ISPRS Ann. Photogram. Remote Sens. Spatial Inf. Sci. 4 (2018)
McShane, W.R., Roess, R.P., Prassas, E.S.: Traffic Engineering. Pearson (2010)
Muvuna, J., Boutaleb, T., Mickovski, S., Baker, K.: Systems engineering approach to design and modelling of smart cities. In: 2016 International Conference for Students on Applied Engineering (ICSAE), pp. 437–440. IEEE (2016)
Ribeiro, F.G.C., Pereira, C.E., Rettberg, A., Soares, M.S.: Model-based requirements specification of real-time systems with UML, SysML and MARTE. Softw. Syst. Model. 17(1), 343–361 (2018)
Ribeiro, F.G.C., Reuberg, A., Pereira, C.E., Soares, M.S.: An approach for architectural design of automotive systems using MARTE and SysML. In: 14th IEEE International Conference on Automation Science and Engineering, CASE 2018, Munich, Germany, August 20–24, 2018, pp. 1574–1580. IEEE (2018)
Shahidehpour, M., Li, Z., Ganji, M.: Smart cities for a sustainable urbanization: illuminating the need for establishing smart urban infrastructures. IEEE Electrif. Mag. 6(2), 16–33 (2018)
Silva, M., Signoretti, G., Oliveira, J., Silva, I., Costa, D.: A crowdsensing platform for monitoring of vehicular emissions: a smart city perspective. Future Internet 11, 13 (2019)
Silvestre, E.A., dos Santos Soares, M.: Modeling road traffic signals control using UML and the MARTE profile. In: Murgante, B., et al. (eds.) ICCSA 2012. LNCS, vol. 7336, pp. 1–15. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-31128-4_1
Soares, M.S., Vrancken, J., Verbraeck, A.: User requirements modeling and analysis of software-intensive systems. J. Syst. Softw. 84(2), 328–339 (2011)
Staffans, A., Horelli, L.: Expanded urban planning as a vehicle for understanding and shaping smart, liveable cities. J. Community Inform. 10(3) (2014)
SysML, O.: Systems Modeling Language (SysML) Version 1.5 (2016)
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This study was financed in part by FAPITEC and the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES) - Finance Code 001.
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Souza, L.S., Misra, S., Soares, M.S. (2020). SmartCitySysML: A SysML Profile for Smart Cities Applications. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science(), vol 12254. Springer, Cham. https://doi.org/10.1007/978-3-030-58817-5_29
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DOI: https://doi.org/10.1007/978-3-030-58817-5_29
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