IDEAS home Printed from https://ideas.repec.org/a/pop/procee/v6y2018p79-97.html
   My bibliography  Save this article

CitiSim – IoT platform for monitoring and management of the city

Author

Listed:
  • George SUCIU

    (BEIA Consult International, Bucharest, Romania)

  • Teodora USURELU

    (BEIA Consult International, Bucharest, Romania)

  • Ioana ROGOJANU

    (University Politehnica of Bucharest, Romania)

  • Ruxandra Ioana RADUCANU

    (University Politehnica of Bucharest, Romania)

  • Raluca IOSU

    (University Politehnica of Bucharest, Romania)

  • Felix Jesus VILLANUEVA

    (School of Computer Science, University of Castilla-La Mancha, Spain)

  • Maria Jose SANTOFIMIA

    (School of Computer Science, University of Castilla-La Mancha, Spain)

  • David VILLA

    (School of Computer Science, University of Castilla-La Mancha, Spain)

Abstract

Current technologies have created new methods of monitoring and organization of the problems in our society, in particular, those arising from the cities. In order to become more connected with the environment and to find solutions to daily problems, such as traffic, pollution or energy consumption, several research, and development projects that focus on these issues were developed. The existence of an intelligent platform for the monitoring and control of the city could be of considerable benefit in the development of the ecosystem at the level of a city. Such a platform, that proposes the development of intelligent services at the level of the towns, is CitiSim. The purpose of the CitiSim platform is to allow users to take management decisions even in critical situations or emergency, on the basis of data provided by the sensors. The expected results shall include the creation of a 3D visualization tool for the monitoring and control of the city and the use of techniques for viewing enhanced publication and reality enhanced publication. For the implementation of the details at CitiSim platform architecture has been used as middleware ZeroC Ice. The chosen programming languages for the implementation of the prototype are Java, JavaScript, and Python. The libcitisim library has been introduced into the system architecture to provide access to the lower level events of a smart city to simplify the development of new services. It will also be available the service for emergency cases simulation which will use special devices for 3D visualization and augmented reality. The devices used for visualization of 3D equipment are 3D glasses that allow you to view the models of buildings and escape routes. The development with 3D models will be done using Unity Engine that uses C# and Unity Script– a JavaScript-based language-as developing language.

Suggested Citation

  • George SUCIU & Teodora USURELU & Ioana ROGOJANU & Ruxandra Ioana RADUCANU & Raluca IOSU & Felix Jesus VILLANUEVA & Maria Jose SANTOFIMIA & David VILLA, 2018. "CitiSim – IoT platform for monitoring and management of the city," Smart Cities International Conference (SCIC) Proceedings, Smart-EDU Hub, vol. 6, pages 79-97, November.
  • Handle: RePEc:pop:procee:v:6:y:2018:p:79-97
    as

    Download full text from publisher

    File URL: https://www.scrd.eu/index.php/scic/article/view/281/245
    Download Restriction: no

    File URL: https://www.scrd.eu/index.php/scic/article/view/281
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kourtit, Karima & Nijkamp, Peter & Steenbruggen, John, 2017. "The significance of digital data systems for smart city policy," Socio-Economic Planning Sciences, Elsevier, vol. 58(C), pages 13-21.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Pamučar, Dragan & Durán-Romero, Gemma & Yazdani, Morteza & López, Ana M., 2023. "A decision analysis model for smart mobility system development under circular economy approach," Socio-Economic Planning Sciences, Elsevier, vol. 86(C).
    2. Miguel Amado & Francesca Poggi & António Ribeiro Amado & Sílvia Breu, 2018. "E-City Web Platform: A Tool for Energy Efficiency at Urban Level," Energies, MDPI, vol. 11(7), pages 1-14, July.
    3. Usman Ghani & Peter Toth & Fekete David, 2023. "Predictive Choropleth Maps Using ARIMA Time Series Forecasting for Crime Rates in Visegrád Group Countries," Sustainability, MDPI, vol. 15(10), pages 1-15, May.
    4. Parul Gupta & Sumedha Chauhan & M. P. Jaiswal, 2019. "Classification of Smart City Research - a Descriptive Literature Review and Future Research Agenda," Information Systems Frontiers, Springer, vol. 21(3), pages 661-685, June.
    5. Marimuthu, Malliga & D'Souza, Clare & Shukla, Yupal, 2022. "Integrating community value into the adoption framework: A systematic review of conceptual research on participatory smart city applications," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    6. Usman Ghani & Peter Toth & Fekete David & Eniko Varga & Zoltán Baracskai, 2024. "Social Impact Assessment in Urban Security Management Projects: A Case Study from Pakistan," Academic Journal of Interdisciplinary Studies, Richtmann Publishing Ltd, vol. 13, January.
    7. R. Patrick Bixler & Katherine Lieberknecht & Fernanda Leite & Juliana Felkner & Michael Oden & Steven M. Richter & Samer Atshan & Alvaro Zilveti & Rachel Thomas, 2019. "An Observatory Framework for Metropolitan Change: Understanding Urban Social–Ecological–Technical Systems in Texas and Beyond," Sustainability, MDPI, vol. 11(13), pages 1-17, July.
    8. Büyüközkan, Gülçin & Ilıcak, Öykü, 2022. "Smart urban logistics: Literature review and future directions," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    9. Karima Kourtit, 2021. "City intelligence for enhancing urban performance value: a conceptual study on data decomposition in smart cities," Asia-Pacific Journal of Regional Science, Springer, vol. 5(1), pages 191-222, February.
    10. Margarida Rodrigues & Mário Franco, 2018. "Measuring the Performance in Creative Cities: Proposal of a Multidimensional Model," Sustainability, MDPI, vol. 10(11), pages 1-21, November.
    11. Helen Dian FRIDAYANI & Li-Chun CHIANG, 2021. "The participation of citizens to achieve smart people’s case study: Analyzing the use of online-based community complaint channels in Sleman regency," Smart Cities and Regional Development (SCRD) Journal, Smart-EDU Hub, vol. 5(1), pages 69-82, February.
    12. Francesca Nocca, 2017. "The Role of Cultural Heritage in Sustainable Development: Multidimensional Indicators as Decision-Making Tool," Sustainability, MDPI, vol. 9(10), pages 1-28, October.
    13. Batabyal, Amitrajeet A. & Beladi, Hamid, 2019. "The optimal provision of information and communication technologies in smart cities," Technological Forecasting and Social Change, Elsevier, vol. 147(C), pages 216-220.
    14. Ilja Nastjuk & Simon Trang & Elpiniki I. Papageorgiou, 2022. "Smart cities and smart governance models for future cities," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 1917-1924, December.
    15. Wioletta Wereda & Justyna Stochaj, 2020. "The Security of the Local Community and Tourists Resulting from the Implementation of ICT in Cities: The Case of Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 2), pages 530-551.
    16. Huaxiong Jiang & Stan Geertman & Patrick Witte, 2021. "Smartening urban governance: An evidence‐based perspective," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(3), pages 744-758, June.
    17. Wu, Wenqing & Zhu, Dongyang & Liu, Wenyi & Wu, Chia-Huei, 2022. "Empirical research on smart city construction and public health under information and communications technology," Socio-Economic Planning Sciences, Elsevier, vol. 80(C).
    18. Dorota Kamrowska-Załuska, 2021. "Impact of AI-Based Tools and Urban Big Data Analytics on the Design and Planning of Cities," Land, MDPI, vol. 10(11), pages 1-19, November.

    More about this item

    Keywords

    3D visualisation; augmented reality; smart environment administration;
    All these keywords.

    JEL classification:

    • O35 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Social Innovation

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pop:procee:v:6:y:2018:p:79-97. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catalin Vrabie (email available below). General contact details of provider: https://edirc.repec.org/data/fasnsro.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.