IDEAS home Printed from https://ideas.repec.org/a/zna/indecs/v16y2018i1p176-185.html
   My bibliography  Save this article

On the Development of Intelligent Railway Information and Safety Systems: An Overview of Current Research

Author

Listed:
  • Dániel Tokody

    (Obuda University, Doctoral School of Safety and Security Sciences, Budapest, Hungary)

  • Mária Tor

    (Obuda University, IIVR Project Office, Budapest, Hungary)

  • Endre Szûcs

    (Obuda University, Doctoral School of Safety and Security Sciences, Budapest, Hungary)

  • Francesco Flammini

    (Linnaeus University, Växjö, Sweden)

  • Laszlo Barna Iantovics

    (Petru Maior University, Tirgu Mures, Romania)

Abstract

The present article focuses on the research and development planning for innovative railway systems. Within such a general framework, the specific objectives of the research have been defined within the framework of a large Intelligent Railway System project in Hungary. Our theoretical research work at the university is combined with practical experience gained at the Hungarian State Railways. In the course of this research work, the development of an intelligent railway system has been investigated by leveraging on the fruitful cooperation between academic and industrial partners, in order to promote the application and integration possibilities of the development results, as well as the introduction of innovative components in the railway system. In such a context, this article discusses the research plan, preliminary and long-term expected results, sharing objectives and experiences with the aim of providing novel views in an extremely current and challenging field of research.

Suggested Citation

  • Dániel Tokody & Mária Tor & Endre Szûcs & Francesco Flammini & Laszlo Barna Iantovics, 2018. "On the Development of Intelligent Railway Information and Safety Systems: An Overview of Current Research," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 16(1), pages 176-185.
    • Handle: RePEc:zna:indecs:v:16:y:2018:i:1:p:176-185
    as

    Download full text from publisher

    File URL: http://indecs.eu/2018/indecs2018-pp176-185.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dániel Tokody & Géza Károly Kiss Leizer, 2017. "Radiofrequency Identification by using Drones in Railway Accidents and Disaster Situations," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 15(2), pages 114-132.
    2. Muaz Niazi & Amir Hussain, 2011. "Agent-based computing from multi-agent systems to agent-based models: a visual survey," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(2), pages 479-499, November.
    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. Gyula Mester, 2018. "Development of Autonomous Anthropomorphic Wheeled Mobile Robotic Platform," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 16(1), pages 139-148.
    2. Talal Daghriri & Michael Proctor & Sarah Matthews, 2022. "Evolution of Select Epidemiological Modeling and the Rise of Population Sentiment Analysis: A Literature Review and COVID-19 Sentiment Illustration," IJERPH, MDPI, vol. 19(6), pages 1-20, March.
    3. Hossein Sabzian & Mohammad Ali Shafia & Ali Maleki & Seyeed Mostapha Seyeed Hashemi & Ali Baghaei & Hossein Gharib, 2019. "Theories and Practice of Agent based Modeling: Some practical Implications for Economic Planners," Papers 1901.08932, arXiv.org.
    4. Navonil Mustafee & Korina Katsaliaki & Paul Fishwick, 2014. "Exploring the modelling and simulation knowledge base through journal co-citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 2145-2159, March.
    5. Omkar Joshi & Rodney E. Will & Chris B. Zou & Gehendra Kharel, 2019. "Sustaining Cross-Timbers Forest Resources: Current Knowledge and Future Research Needs," Sustainability, MDPI, vol. 11(17), pages 1-12, August.
    6. Shaojie Qi & Fengrui Hua & Zheng Zhou & Daniel T. L. Shek, 2022. "Trends of Positive Youth Development Publications (1995–2020): A Scientometric Review," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 17(1), pages 421-446, February.
    7. Yaozong Zhu & Yezhu Wang & Baohuan Zhou & Xiaoli Hu & Yundong Xie, 2023. "A Patent Bibliometric Analysis of Carbon Capture, Utilization, and Storage (CCUS) Technology," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    8. Zoltán Nyikes, 2018. "Contemporary Digital Competency Review," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 16(1), pages 124-131.
    9. Mohammad Vahidnia & Ali Alesheikh & Seyed Alavipanah, 2015. "A multi-agent architecture for geosimulation of moving agents," Journal of Geographical Systems, Springer, vol. 17(4), pages 353-390, October.
    10. Biola K. Badmos & Sampson K. Agodzo & Grace B. Villamor & Samuel N. Odai, 2015. "An Approach for Simulating Soil Loss from an Agro-Ecosystem Using Multi-Agent Simulation: A Case Study for Semi-Arid Ghana," Land, MDPI, vol. 4(3), pages 1-20, July.
    11. Fetta, Angelico & Harper, Paul & Knight, Vincent & Williams, Janet, 2018. "Predicting adolescent social networks to stop smoking in secondary schools," European Journal of Operational Research, Elsevier, vol. 265(1), pages 263-276.
    12. Athar Ajaz Khan & János Abonyi, 2022. "Simulation of Sustainable Manufacturing Solutions: Tools for Enabling Circular Economy," Sustainability, MDPI, vol. 14(15), pages 1-40, August.
    13. Péter Miksa Hell & Péter János Varga, 2018. "Accurate Radiofrequency Identification Tracking in Smart City Railways by Using Drones," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 16(3-A), pages 333-341.
    14. Géza Károly Kiss Leizer, 2018. "Possible Areas of Application of Drones in Waste Management during Rail Accidents and Disasters," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 16(3-A), pages 360-368.
    15. Mattia Pellegrino & Gianfranco Lombardo & Stefano Cagnoni & Agostino Poggi, 2022. "High-Performance Computing and ABMS for High-Resolution COVID-19 Spreading Simulation," Future Internet, MDPI, vol. 14(3), pages 1-23, March.
    16. Ringler, Philipp & Keles, Dogan & Fichtner, Wolf, 2016. "Agent-based modelling and simulation of smart electricity grids and markets – A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 205-215.
    17. González-Méndez, Mauricio & Olaya, Camilo & Fasolino, Isidoro & Grimaldi, Michele & Obregón, Nelson, 2021. "Agent-Based Modeling for Urban Development Planning based on Human Needs. Conceptual Basis and Model Formulation," Land Use Policy, Elsevier, vol. 101(C).
    18. Friederike Wall, 2019. "Emergence of Coordination in Growing Decision-Making Organizations: The Role of Complexity, Search Strategy, and Cost of Effort," Complexity, Hindawi, vol. 2019, pages 1-26, December.
    19. Ping Xie, 2015. "Study of international anticancer research trends via co-word and document co-citation visualization analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(1), pages 611-622, October.
    20. Sardorbek Musayev & Jonathan Mellor & Tara Walsh & Emmanouil Anagnostou, 2021. "Development of an Agent-Based Model for Weather Forecast Information Exchange in Rural Area of Bahir Dar, Ethiopia," Sustainability, MDPI, vol. 13(9), pages 1-21, April.

    More about this item

    Keywords

    railways; R&D; intelligent systems; critical infrastructures; safety and security;
    All these keywords.

    JEL classification:

    • L92 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Railroads and Other Surface Transportation
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure

    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:zna:indecs:v:16:y:2018:i:1:p:176-185. 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: Josip Stepanic (email available below). General contact details of provider: .

    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.