Advertisement

Mobile Application for Smart City Management

  • Vivian F. López
  • María N. Moreno
  • Pablo Chamoso
  • Emilio S. Corchado
  • Belén Pérez
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 801)

Abstract

The wide acceptance by people when using mobile applications to communicate or interact, replacing traditional media, makes mobile applications a very useful tool today. Thanks to the interconnection that smartphones provide and the technological evolution that allows everyday objects to be connected with people, the concept of smart cities has gained strength. This paper presents an application that aims to connect the citizens of a city in a simple way with the administration and authorities of different sectors, in order to speed up communication and provide cities with a fast route (practically in real time) with which to obtain feedback from citizens.

Keywords

Smart cities Mobile application e-Government 

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.
    Chamoso, P., Rivas, A., Rodríguez, S., Bajo, J.: Relationship recommender system in a business and employment-oriented social network. Inf. Sci. (2018)Google Scholar
  2. 2.
    Prieto, J., Chamoso, P., De la Prieta, F., Corchado, J.M.: A generalized framework for wireless localization in gerontechnology. In: 2017 IEEE 17th International Conference on Ubiquitous Wireless Broadband (ICUWB), pp. 1–5. IEEE (2017)Google Scholar
  3. 3.
    Heng, T.M., Low, L.: The intelligent city: Singapore achieving the next lap: practitoners forum. Technol. Anal. Strateg. Manage. 5(2), 187–202 (1993)CrossRefGoogle Scholar
  4. 4.
    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
  5. 5.
    Ishida, T., Ishiguro, H., Nakanishi, H.: Connecting Digital and Physical Cities. Digital Cities II: Computational and Sociological Approaches, pp. 183–188 (2002)Google Scholar
  6. 6.
    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
  7. 7.
    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
  8. 8.
    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
  9. 9.
    Mahizhnan, A.: Smart cities: the Singapore case. Cities 16(1), 13–18 (1999)CrossRefGoogle Scholar
  10. 10.
    Eger, J.M.: Smart growth, smart cities, and the crisis at the pump a worldwide phenomenon. I-WAYS J. E-Gov. Policy Reg. 32(1), 47–53 (2009)Google Scholar
  11. 11.
    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
  12. 12.
    Faia, R., Pinto, T., Abrishambaf, O., Fernandes, F., Vale, Z., Corchado, J.M.: Case based reasoning with expert system and swarm intelligence to determine energy reduction in buildings energy management. Energy Build. 155, 269–281 (2017)CrossRefGoogle Scholar
  13. 13.
    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
  14. 14.
    Li, T., Sun, S., Corchado, J., Siyau, M.: A particle dyeing approach for track continuity for the SMC-Phd filter (2014). Cited by 10Google Scholar
  15. 15.
    Martín-Martín, P., González-Briones, A., Villarrubia, G., De Paz, J.F.: Intelligent transport system through the recognition of elements in the environment. In: International Conference on Practical Applications of Agents and Multi-Agent Systems, pp. 470–480. Springer (2017)Google Scholar
  16. 16.
    Corchado, J., Pavón, J., Corchado, E., Castillo, L.: Development of CBR-BDI agents: a tourist guide application. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3155, pp. 547–559 (2004). Cited by 36Google Scholar
  17. 17.
    García, O., Chamoso, P., Prieto, J., Rodríguez, S., de la Prieta, F.: A serious game to reduce consumption in smart buildings. In: International Conference on Practical Applications of Agents and Multi-Agent Systems, pp. 481–493. Springer (2017)Google Scholar
  18. 18.
    Baruque, B., Corchado, E., Mata, A., Corchado, J.: A forecasting solution to the oil spill problem based on a hybrid intelligent system. Inf. Sci. 180(10), 2029–2043 (2010). Cited by 31CrossRefGoogle Scholar
  19. 19.
    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
  20. 20.
    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
  21. 21.
    Corchado, J., Aiken, J.: Hybrid artificial intelligence methods in oceanographic forecast models. IEEE Trans. Syst. Man Cybern. Part C: Appl. Rev. 32(4), 307–313 (2002). Cited by 31CrossRefGoogle Scholar
  22. 22.
    Bajo, J., Corchado, J.: Evaluation and monitoring of the air-sea interaction using a CBR-agents approach, vol. 3620, pp. 50–62 (2005). Cited by 29CrossRefGoogle Scholar
  23. 23.
    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
  24. 24.
    Corchado, J., Fyfe, C.: Unsupervised neural method for temperature forecasting. Artif. Intell. Eng. 13(4), 351–357 (1999). Cited by 28CrossRefGoogle Scholar
  25. 25.
    Tapia, D., Rodríguez, S., Bajo, J., Corchado, J.: Fusion* a SOA-based multi-agent architecture. Adv. Soft Comput. 50, 99–107 (2009). Cited by 27Google Scholar
  26. 26.
    Angelopoulos, K., Diamantopoulou, V., Mouratidis, H., Pavlidis, M., Salnitri, M., Giorgini, P., Ruiz, J.F.: A holistic approach for privacy protection in e-government. In: Proceedings of the 12th International Conference on Availability, Reliability and Security, p. 17. ACM (2017)Google Scholar
  27. 27.
    Briones, A.G., Chamoso, P., Barriuso, A.L.: Review of the main security problems with multi-agent systems used in e-commerce applications. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 5(3), 55–61 (2016)CrossRefGoogle Scholar
  28. 28.
    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
  29. 29.
    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
  30. 30.
    Laza, R., Pavón, R., Corchado, J.: A reasoning model for CBR-BDI agents using an adaptable fuzzy inference system. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 3040, pp. 96–106 (2004). Cited by 14Google Scholar
  31. 31.
    Clohessy, T., Acton, T., Morgan, L.: Smart city as a service (scaas): a future roadmap for e-government smart city cloud computing initiatives. In: Proceedings of the 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing, pp. 836–841. IEEE Computer Society (2014)Google Scholar
  32. 32.
    Ali, S.M., Mehmood, C.A., Khawja, A., Nasim, R., Jawad, M., Usman, S., Khan, S., Salahuddin, S., Ihsan, M.A.: Micro-controller based smart electronic voting machine system. In: 2014 IEEE International Conference on Electro/Information Technology (EIT), pp. 438–442. IEEE (2014)Google Scholar
  33. 33.
    Janssen, M., van den Hoven, J.: Big and open linked data (bold) in government: a challenge to transparency and privacy? (2015)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Vivian F. López
    • 1
  • María N. Moreno
    • 1
  • Pablo Chamoso
    • 1
    • 2
  • Emilio S. Corchado
    • 1
  • Belén Pérez
    • 1
  1. 1.Computer Sciences and Automation Department, Facultad de CienciasUniversity of SalamancaSalamancaSpain
  2. 2.BISITE Digital Innovation HubUniversity of SalamancaSalamancaSpain

Personalised recommendations