Skip to main content

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    IBM - https://www.ibm.com.

  2. 2.

    Sentilo - http://www.sentilo.io/.

  3. 3.

    SmartSantander - http://www.smartsantander.eu/.

  4. 4.

    IBM Intelligent Operation Center - http://www-03.ibm.com/software/products/es/intelligent-operations-center.

  5. 5.

    CitySDK - https://www.citysdk.eu/.

  6. 6.

    Open Cities - http://opencities.upf.edu/.

  7. 7.

    i-SCOPE - http://www.iscopeproject.net/.

  8. 8.

    People - http://www.people-project.eu/.

  9. 9.

    IoT Open platforms - http://open-platforms.eu/.

  10. 10.

    FIWARE - https://www.fiware.org/.

  11. 11.

    Carriots - https://www.carriots.com/.

  12. 12.

    Kaa - https://www.kaaproject.org/.

  13. 13.

    Sofia2 - http://sofia2.com/.

  14. 14.

    Webinos - http://webinos.org/.

  15. 15.

    ICOS - http://icos.urenio.org/.

  16. 16.

    CKAN - https://ckan.org/.

  17. 17.

    Data.gov - https://catalog.data.gov/dataset.

  18. 18.

    Berlin Open Data - https://daten.berlin.de/.

  19. 19.

    DKAN - http://getdkan.com/.

  20. 20.

    Drupal - https://www.drupal.org/.

  21. 21.

    Socrata - https://socrata.com/.

  22. 22.

    OpenDataSoft - https://public.opendatasoft.com.

References

  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. 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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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 25

    Article  Google Scholar 

  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 13

    Article  Google Scholar 

  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 11

    Article  MathSciNet  Google Scholar 

  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)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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 14

    Article  Google Scholar 

  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. 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 23

    Article  Google Scholar 

  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 10

    Article  Google Scholar 

  13. Lima, A., De Castro, L., Corchado, J.: A polarity analysis framework for twitter messages. Appl. Math. Comput. 270, 756–767 (2015). Cited by 12

    Article  Google Scholar 

  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 17

    Article  Google Scholar 

  15. Hollands, R.G.: Will the real smart city please stand up? intelligent, progressive or entrepreneurial? City 12(3), 303–320 (2008)

    Article  Google Scholar 

  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)

    Article  Google Scholar 

  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. 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. 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. 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)

    Article  Google Scholar 

  21. Hancke, G.P., Hancke Jr., G.P., et al.: The role of advanced sensing in smart cities. Sensors 13(1), 393–425 (2012)

    Article  Google Scholar 

  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. Mahizhnan, A.: Smart cities: the singapore case. Cities 16(1), 13–18 (1999)

    Article  Google Scholar 

  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. 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. 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. 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)

    Article  Google Scholar 

  28. Bakıcı, T., Almirall, E., Wareham, J.: A smart city initiative: the case of barcelona. J. Knowl. Econ. 4(2), 135–148 (2013)

    Article  Google Scholar 

  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 

Download references

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.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fernando de la Prieta .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

de la Prieta, F., Gil, A.B., Moreno, M., Muñoz, M.D. (2019). Review of Technologies and Platforms for Smart Cities. In: Rodríguez, S., et al. Distributed Computing and Artificial Intelligence, Special Sessions, 15th International Conference. DCAI 2018. Advances in Intelligent Systems and Computing, vol 801. Springer, Cham. https://doi.org/10.1007/978-3-319-99608-0_22

Download citation

Publish with us

Policies and ethics