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Special Issue “New Perspectives in Intelligent Transportation Systems and Mobile Communications towards a Smart Cities Context”

Author

Listed:
  • Giovanni Pau

    (Faculty of Engineering and Architecture, Kore University of Enna, 94100 Enna, Italy)

  • Alessandro Severino

    (Department of Civil Engineering and Architecture, University of Catania, 95123 Catania, Italy)

  • Antonino Canale

    (Faculty of Engineering and Architecture, Kore University of Enna, 94100 Enna, Italy)

Abstract

Intelligent transportation solutions and smart information and communication technologies will be the core of future smart cities. For this purpose, these topics have captivated noteworthy interest in the investigation and construction of cleverer communication protocols or the application of artificial intelligence in the connection of in-vehicle devices by wireless networks, and in in-vehicle services for autonomous driving using high-precision positioning and sensing systems. This special issue has focused on the collection of high-quality papers aimed at solving open technical problems and challenges typical of mobile communications for Intelligent Transportation Systems.

Suggested Citation

  • Giovanni Pau & Alessandro Severino & Antonino Canale, 2019. "Special Issue “New Perspectives in Intelligent Transportation Systems and Mobile Communications towards a Smart Cities Context”," Future Internet, MDPI, vol. 11(11), pages 1-3, October.
    • Handle: RePEc:gam:jftint:v:11:y:2019:i:11:p:228-:d:280832
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    References listed on IDEAS

    as
    1. Irshad Ahmed Abbasi & Adnan Shahid Khan, 2018. "A Review of Vehicle to Vehicle Communication Protocols for VANETs in the Urban Environment," Future Internet, MDPI, vol. 10(2), pages 1-15, January.
    2. Marianne Silva & Gabriel Signoretti & Julio Oliveira & Ivanovitch Silva & Daniel G. Costa, 2019. "A Crowdsensing Platform for Monitoring of Vehicular Emissions: A Smart City Perspective," Future Internet, MDPI, vol. 11(1), pages 1-20, January.
    3. Bo Sun & Ming Wei & Senlai Zhu, 2018. "Optimal Design of Demand-Responsive Feeder Transit Services with Passengers’ Multiple Time Windows and Satisfaction," Future Internet, MDPI, vol. 10(3), pages 1-15, March.
    Full references (including those not matched with items on IDEAS)

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