IDEAS home Printed from https://ideas.repec.org/a/eee/telpol/v43y2019i2p171-181.html
   My bibliography  Save this article

Internet of Things, big data and the economics of networked vehicles

Author

Listed:
  • Knieps, Günter

Abstract

The evolution of special purpose standards for networked vehicles towards IP based communication networks and the high-volume data processing requirements call for the introduction of a new concept – the big data virtual network. The virtual network operator, which may be integrated with the operators of networked vehicle applications, combines sensor and camera devices with big data, either using large data centers (cloud computing) or local processing (fog computing), and complementary QoS (Quality of Service) differentiated bandwidth capacities from the all-IP network. The growing importance of camera-based sensors as well as geo-awareness requirements create a need for more pronounced QoS differentiated bandwidth as well as big data processing efforts. In particular, combining QoS differentiated all-IP bandwidth capacities with local data processing within the edge cloud constitutes a new task for big data virtual network service providers, enabling deterministic guarantees for ultra-low latencies required for networked fully automated (driverless) vehicles.

Suggested Citation

  • Knieps, Günter, 2019. "Internet of Things, big data and the economics of networked vehicles," Telecommunications Policy, Elsevier, vol. 43(2), pages 171-181.
    • Handle: RePEc:eee:telpol:v:43:y:2019:i:2:p:171-181
    DOI: 10.1016/j.telpol.2018.09.002
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308596117304640
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.telpol.2018.09.002?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Bauer, Johannes M. & Knieps, Günter, 2018. "Complementary innovation and network neutrality," Telecommunications Policy, Elsevier, vol. 42(2), pages 172-183.
    2. Fagnant, Daniel J. & Kockelman, Kara, 2015. "Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 167-181.
    3. Günter Knieps, 2011. "Network neutrality and the evolution of the internet," International Journal of Management and Network Economics, Inderscience Enterprises Ltd, vol. 2(1), pages 24-38.
    4. Günter Knieps & Volker Stocker, 2016. "Price and QoS differentiation in all-IP networks," International Journal of Management and Network Economics, Inderscience Enterprises Ltd, vol. 3(4), pages 317-335.
    5. Günter Knieps, 2015. "Entrepreneurial Traffic Management And The Internet Engineering Task Force," Journal of Competition Law and Economics, Oxford University Press, vol. 11(3), pages 727-745.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jurva, Risto & Matinmikko-Blue, Marja & Outila, Tarja & Merisalo, Virve, 2021. "Evolution paths of stakeholder-oriented smart transportation systems based on 5G," 23rd ITS Biennial Conference, Online Conference / Gothenburg 2021. Digital societies and industrial transformations: Policies, markets, and technologies in a post-Covid world 243151, International Telecommunications Society (ITS).
    2. Parcu, Pier Luigi & Innocenti, Niccolò & Carrozza, Chiara, 2022. "Ubiquitous technologies and 5G development. Who is leading the race?," Telecommunications Policy, Elsevier, vol. 46(4).
    3. Guenter Knieps, 2021. "Data-driven sector coupling in 5G-based smart networks," Competition and Regulation in Network Industries, , vol. 22(1), pages 53-68, March.
    4. Wagner, Dirk Nicolas, 2020. "The nature of the Artificially Intelligent Firm - An economic investigation into changes that AI brings to the firm," Telecommunications Policy, Elsevier, vol. 44(6).
    5. Chae, Bongsug (Kevin), 2019. "The evolution of the Internet of Things (IoT): A computational text analysis," Telecommunications Policy, Elsevier, vol. 43(10).
    6. Günter Knieps, 2019. "Internet der Dinge und die Zukunft der Netzökonomie [Internet of Things and the Future of Network Economics]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 99(5), pages 348-354, May.
    7. Richard Lutz & Christian Böttger & Alexander Kirchner & Günter Knieps, 2019. "Deutsche Bahn between public service provider and profit: is it time for a radical restructuring?," ifo Schnelldienst, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 72(05), pages 03-16, March.
    8. Queder, Fabian & Lehr, William & Haucap, Justus, 2020. "5G and Mobile Broadband Disruption," ITS Conference, Online Event 2020 224872, International Telecommunications Society (ITS).

    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. Günter Knieps, 2017. "Internet of Things, future networks, and the economics of virtual networks," Competition and Regulation in Network Industries, , vol. 18(3-4), pages 240-255, September.
    2. Bauer, Johannes M. & Knieps, Günter, 2018. "Complementary innovation and network neutrality," Telecommunications Policy, Elsevier, vol. 42(2), pages 172-183.
    3. Günter Knieps, 2019. "Internet der Dinge und die Zukunft der Netzökonomie [Internet of Things and the Future of Network Economics]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 99(5), pages 348-354, May.
    4. Briglauer, Wolfgang & Stocker, Volker, 2020. "Bedeutung digitaler Infrastrukturen und Dienste und Maßnahmen zur Förderung der Resilienz in Krisenzeiten," Policy Notes 42, EcoAustria – Institute for Economic Research.
    5. Guenter Knieps, 2021. "Data-driven sector coupling in 5G-based smart networks," Competition and Regulation in Network Industries, , vol. 22(1), pages 53-68, March.
    6. Kassens-Noor, Eva & Cai, Meng & Kotval-Karamchandani, Zeenat & Decaminada, Travis, 2021. "Autonomous vehicles and mobility for people with special needs," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 385-397.
    7. Zhang, Fang & Lu, Jian & Hu, Xiaojian & Meng, Qiang, 2023. "Integrated deployment of dedicated lane and roadside unit considering uncertain road capacity under the mixed-autonomy traffic environment," Transportation Research Part B: Methodological, Elsevier, vol. 174(C).
    8. Li, Dun & Huang, Youlin & Qian, Lixian, 2022. "Potential adoption of robotaxi service: The roles of perceived benefits to multiple stakeholders and environmental awareness," Transport Policy, Elsevier, vol. 126(C), pages 120-135.
    9. Gruber, Mario, 2020. "An evolutionary perspective on adoption-diffusion theory," Journal of Business Research, Elsevier, vol. 116(C), pages 535-541.
    10. Saeed, Tariq Usman & Burris, Mark W. & Labi, Samuel & Sinha, Kumares C., 2020. "An empirical discourse on forecasting the use of autonomous vehicles using consumers’ preferences," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    11. Emberger, Guenter & Pfaffenbichler, Paul, 2020. "A quantitative analysis of potential impacts of automated vehicles in Austria using a dynamic integrated land use and transport interaction model," Transport Policy, Elsevier, vol. 98(C), pages 57-67.
    12. Bray, Garrett & Cebon, David, 2022. "Operational speed strategy opportunities for autonomous trucking on highways," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 75-94.
    13. Knieps, Günter & Zenhäusern, Patrick, 2013. "Regulatory fallacies in global telecommunications: The case of international mobile roaming," Discussion Papers 144, University of Freiburg, Institute for Transport Economics and Regional Policy.
    14. Salas Gironés, Edgar & van Est, Rinie & Verbong, Geert, 2020. "The role of policy entrepreneurs in defining directions of innovation policy: A case study of automated driving in the Netherlands," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    15. Meyer, Jonas & Becker, Henrik & Bösch, Patrick M. & Axhausen, Kay W., 2017. "Autonomous vehicles: The next jump in accessibilities?," Research in Transportation Economics, Elsevier, vol. 62(C), pages 80-91.
    16. Zwick, Felix & Kuehnel, Nico & Hörl, Sebastian, 2022. "Shifts in perspective: Operational aspects in (non-)autonomous ride-pooling simulations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 300-320.
    17. Cassetta, Ernesto & Marra, Alessandro & Pozzi, Cesare & Antonelli, Paola, 2017. "Emerging technological trajectories and new mobility solutions. A large-scale investigation on transport-related innovative start-ups and implications for policy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 1-11.
    18. Foroughi, Behzad & Nhan, Pham Viet & Iranmanesh, Mohammad & Ghobakhloo, Morteza & Nilashi, Mehrbakhsh & Yadegaridehkordi, Elaheh, 2023. "Determinants of intention to use autonomous vehicles: Findings from PLS-SEM and ANFIS," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    19. Kassens-Noor, Eva & Kotval-Karamchandani, Zeenat & Cai, Meng, 2020. "Willingness to ride and perceptions of autonomous public transit," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 92-104.
    20. Namgung, Hyewon & Fujiwara, Akimasa & Yamamoto, Jenny & Zhang, Junyi, 2023. "Small and medium-sized taxi firm operators' stated choices of future business models: A case study in Japan based on hybrid choice model with panel effects," Research in Transportation Economics, Elsevier, vol. 101(C).

    More about this item

    Keywords

    Internet of Things; Networked vehicles; Big data; Cloud; Fog computing; Sensor networks; Automated driving; Virtual networks;
    All these keywords.

    JEL classification:

    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation
    • L92 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Railroads and Other Surface Transportation
    • L96 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Telecommunications
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

    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:eee:telpol:v:43:y:2019:i:2:p:171-181. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/30471/description#description .

    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.