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Evolution paths of stakeholder-oriented smart transportation systems based on 5G

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  • Jurva, Risto
  • Matinmikko-Blue, Marja
  • Outila, Tarja
  • Merisalo, Virve

Abstract

Societies are experiencing large-scale transformation through digitalization programs covering all private and public sectors. Digitalization advances also the growing demands of sustainable development, in which nations and cities all over the world have set ambitious targets. Transportation is one the cornerstone verticals of cities and has attracted wide attention from various stakeholders developing services and solutions for digitalization. In general, ICT solutions are in the core of digitalization and trailblazing technologies have been developed to enable modern transportation services. 5G technology covering wireless connectivity, IoT sensor technology, distributed edge computing, artificial intelligence, high power computing and service platforms offers numerous opportunities to the development of sophisticated smart transportation services. However, to adopt a pervasive approach for the evolvement of digital transportation services, it is important to examine the system level point of view. Developing occasional services for various transport modes without targeted inter-operability of services, the result of digitalization of transportation can be extremely fragmented. This paper aims to highlight the top-down angle of research and development of the smart transportation system. The development requires seamless co-operation of researchers and specialists of transport systems, urban design and planning and wireless technologies to integrate transport infrastructure, 5G wireless communication infrastructure and traffic management systems to enable advanced digital services for all transport modes. Moreover, this article introduces the stakeholders recognized from transport systems, urban design and planning and wireless technologies. The role of each stakeholder is described a like.

Suggested Citation

  • 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).
    • Handle: RePEc:zbw:itsb21:243151
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    1. Johnson, Rebecca & Shaw, Jon & Berding, Jörn & Gather, Matthias & Rebstock, Markus, 2017. "European national government approaches to older people's transport system needs," Transport Policy, Elsevier, vol. 59(C), pages 17-27.
    2. Lee, Henry & Clark, Alex, 2018. "Charging the Future: Challenges and Opportunities for Electric Vehicle Adoption," Working Paper Series rwp18-026, Harvard University, John F. Kennedy School of Government.
    3. Asif Ahmed & Peter Stopher, 2014. "Seventy Minutes Plus or Minus 10 - A Review of Travel Time Budget Studies," Transport Reviews, Taylor & Francis Journals, vol. 34(5), pages 607-625, September.
    4. Knieps, Günter, 2019. "Internet of Things, big data and the economics of networked vehicles," Telecommunications Policy, Elsevier, vol. 43(2), pages 171-181.
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