Advertisement

Review of Technologies and Platforms for Smart Cities

  • Fernando de la PrietaEmail author
  • Ana Belén Gil
  • María Moreno
  • María Dolores Muñoz
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 801)

Abstract

The importance that data have taken on in recent years, mainly due to technological evolutions (mainly in connectivity and processing capacity) and the reduction of associated costs, means that cities, generators of large volumes of data, invest and bet on infrastructures that analyze the data to obtain benefits. Such has been the importance that much of the efforts of computer scientists have focused on developing tools and platforms that allow cities to make the most of their information, becoming smart cities. This article presents a review of the definitions that the term smart city has received, as well as a review of the functionality of the most used platforms that give technological support to cities.

Keywords

Smart cities Software platforms Internet of Things 

Notes

Acknowledgements

This work was supported by the Spanish Ministry of Economy and FEDER funds. Project “SURF: Intelligent System for integrated and sustainable management of urban fleets” with ID: TIN2015-65515-C4-3-R.

References

  1. 1.
    Shrouf, F., Ordieres, J., Miragliotta, G.: Smart factories in industry 4.0: a review of the concept and of energy management approached in production based on the internet of things paradigm. In: 2014 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), pp. 697–701. IEEE (2014)Google Scholar
  2. 2.
    Moreno, M., Úbeda, B., Skarmeta, A.F., Zamora, M.A.: How can we tackle energy efficiency in iot basedsmart buildings? Sensors 14(6), 9582–9614 (2014)CrossRefGoogle Scholar
  3. 3.
    Garcia-Ortiz, L., Perez-Ramos, H., Chamoso-Santos, P., Recio-Rodriguez, J., Garcia-Garcia, A., Maderuelo-Fernandez, J., Gomez-Sanchez, L., Martínez-Perez, P., Rodriguez-Martin, C., De Cabo-Laso, A.: [pp. 08.02] automatic image analyzer to assess retinal vessel caliber (altair) tool validation for the analysis of retinal vessels. J. Hypertension 34, e160 (2016)CrossRefGoogle Scholar
  4. 4.
    Bajo, J., Fraile, J., Pérez-Lancho, B., Corchado, J.: The thomas architecture in home care scenarios: a case study. Expert Syst. Appl. 37(5), 3986–3999 (2010). Cited by 25CrossRefGoogle Scholar
  5. 5.
    Tapia, D., Corchado, J.: An ambient intelligence based multi-agent system for alzheimer health care. Int. J. Ambient Comput. Intell. 1(1), 15–26 (2009). Cited by 13CrossRefGoogle Scholar
  6. 6.
    Costa, A., Novais, P., Corchado, J., Neves, J.: Increased performance and better patient attendance in an hospital with the use of smart agendas. Logic J. IGPL 20(4), 689–698 (2012). Cited by 11MathSciNetCrossRefGoogle Scholar
  7. 7.
    Gubbi, J., Buyya, R., Marusic, S., Palaniswami, M.: Internet of things (IOT): a vision, architectural elements, and future directions. Future Gener. Comput. Syst. 29(7), 1645–1660 (2013)CrossRefGoogle Scholar
  8. 8.
    Janssen, M., Charalabidis, Y., Zuiderwijk, A.: Benefits, adoption barriers and myths of open data and open government. Inf. Syst. Manage. 29(4), 258–268 (2012)CrossRefGoogle Scholar
  9. 9.
    Li, T., Sun, S., Bolić, M., Corchado, J.: Algorithm design for parallel implementation of the SMC-Phd filter. Sig. Process. 119, 115–127 (2016). Cited by 14CrossRefGoogle Scholar
  10. 10.
    Chamoso, P., De la Prieta, F., De Paz, F., Corchado, J.M.: Swarm agent-based architecture suitable for internet of things and smartcities. In: 12th International Conference Distributed Computing and Artificial Intelligence, pp. 21–29. Springer (2015)Google Scholar
  11. 11.
    Tapia, D., Fraile, J., Rodríguez, S., Alonso, R., Corchado, J.: Integrating hardware agents into an enhanced multi-agent architecture for ambient intelligence systems. Inf. Sci. 222, 47–65 (2013). Cited by 23CrossRefGoogle Scholar
  12. 12.
    Choon, Y., Mohamad, M., Deris, S., Illias, R., Chong, C., Chai, L., Omatu, S., Corchado, J.: Differential bees flux balance analysis with optknock for in silico microbial strains optimization. PLoS ONE 9(7) (2014). Cited by 10CrossRefGoogle Scholar
  13. 13.
    Lima, A., De Castro, L., Corchado, J.: A polarity analysis framework for twitter messages. Appl. Math. Comput. 270, 756–767 (2015). Cited by 12CrossRefGoogle Scholar
  14. 14.
    Mata, A., Corchado, J.: Forecasting the probability of finding oil slicks using a CBR system. Expert Syst. Appl. 36(4), 8239–8246 (2009). Cited by 17CrossRefGoogle Scholar
  15. 15.
    Hollands, R.G.: Will the real smart city please stand up? intelligent, progressive or entrepreneurial? City 12(3), 303–320 (2008)CrossRefGoogle Scholar
  16. 16.
    Neirotti, P., De Marco, A., Cagliano, A.C., Mangano, G., Scorrano, F.: Current trends in smart city initiatives: some stylised facts. Cities 38, 25–36 (2014)CrossRefGoogle Scholar
  17. 17.
    Qi, L., Shaofu, L.: Research on digital city framework architecture. In: Proceedings 2001 International Conferences on Info-tech and Info-net ICII 2001, vol. 1, pp. 30–36. IEEE, Beijing (2001)Google Scholar
  18. 18.
    Ishida, T., Ishiguro, H., Nakanishi, H.: Connecting digital and physical cities. Digital Cities II: Computational and Sociological Approaches, pp. 183–188 (2002)Google Scholar
  19. 19.
    Giffinger, R., Fertner, C., Kramar, H., Kalasek, R., Pichler-Milanović, N., Meijers, E.: Smart cities: ranking of European medium-sized cities: Centre of regional science (srf). vienna university of technology, Vienna, Austria, 15 Jan 2017. http://www.smart-cities.eu/download/smart_cities_final_report.pdf
  20. 20.
    Harrison, C., Eckman, B., Hamilton, R., Hartswick, P., Kalagnanam, J., Paraszczak, J., Williams, P.: Foundations for smarter cities. IBM J. Res. Develop. 54(4), 1–16 (2010)CrossRefGoogle Scholar
  21. 21.
    Hancke, G.P., Hancke Jr., G.P., et al.: The role of advanced sensing in smart cities. Sensors 13(1), 393–425 (2012)CrossRefGoogle Scholar
  22. 22.
    Chamoso, P., De la Prieta, F., Pérez, J.B., Rodríguez, J.M.C.: Conflict resolution with agents in smart cities. In: Interdisciplinary Perspectives on Contemporary Conflict Resolution. IGI Global, pp. 244–262 (2016)Google Scholar
  23. 23.
    Mahizhnan, A.: Smart cities: the singapore case. Cities 16(1), 13–18 (1999)CrossRefGoogle Scholar
  24. 24.
    Rudolf, G., Fertner, C., Kramar, H., Kalasek, R., Pichler-Milanovic, N., Meijers, E.: Smart cities-ranking of European medium-sized cities. Rapport technique, Vienna Centre of Regional Science (2007)Google Scholar
  25. 25.
    Eger, J.M.: Smart growth, smart cities, and the crisis at the pump a worldwide phenomenon. I-WAYS J. E-Gov. Policy Regul. 32(1), 47–53 (2009)Google Scholar
  26. 26.
    Moss Kanter, R., Litow, S.S.: Informed and interconnected: a manifesto for smarter cities. Harvard Business School General Management Unit Working Paper (09-141) (2009)Google Scholar
  27. 27.
    Boulos, M.N.K., Tsouros, A.D., Holopainen, A.: Social, innovative and smart cities are happy and resilient: insights from the who euro 2014 international healthy cities conference. Int. J. Health Geogr. 14(1), 3 (2015)CrossRefGoogle Scholar
  28. 28.
    Bakıcı, T., Almirall, E., Wareham, J.: A smart city initiative: the case of barcelona. J. Knowl. Econ. 4(2), 135–148 (2013)CrossRefGoogle Scholar
  29. 29.
    De Amicis, R., Conti, G., Patti, D., Ford, M., Elisei, P.: I-Scope-Interoperable Smart City Services through an Open Platform for Urban Ecosystems. na (2012)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Fernando de la Prieta
    • 1
    • 2
    Email author
  • Ana Belén Gil
    • 1
  • María Moreno
    • 1
  • María Dolores Muñoz
    • 1
  1. 1.Computer Sciences and Automation Department, Facultad de CienciasUniversity of SalamancaSalamancaSpain
  2. 2.BISITE Digital Innovation HubUniversity of SalamancaSalamancaSpain

Personalised recommendations