IDEAS home Printed from https://ideas.repec.org/a/gam/jftint/v11y2019i2p27-d200356.html
   My bibliography  Save this article

An Overview of Vehicular Communications

Author

Listed:
  • Fabio Arena

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

  • Giovanni Pau

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

Abstract

The transport sector is commonly subordinate to several issues, such as traffic congestion and accidents. Despite this, in recent years, it is also evolving with regard to cooperation between vehicles. The fundamental objective of this trend is to increase road safety, attempting to anticipate the circumstances of potential danger. Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I) and Vehicle-to-Everything (V2X) technologies strive to give communication models that can be employed by vehicles in different application contexts. The resulting infrastructure is an ad-hoc mesh network whose nodes are not only vehicles but also all mobile devices equipped with wireless modules. The interaction between the multiple connected entities consists of information exchange through the adoption of suitable communication protocols. The main aim of the review carried out in this paper is to examine and assess the most relevant systems, applications, and communication protocols that will distinguish the future road infrastructures used by vehicles. The results of the investigation reveal the real benefits that technological cooperation can involve in road safety.

Suggested Citation

  • Fabio Arena & Giovanni Pau, 2019. "An Overview of Vehicular Communications," Future Internet, MDPI, vol. 11(2), pages 1-12, January.
    • Handle: RePEc:gam:jftint:v:11:y:2019:i:2:p:27-:d:200356
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1999-5903/11/2/27/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1999-5903/11/2/27/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cristiano M. Silva & Lucas D. Silva & Leonardo A. L. Santos & João F. M. Sarubbi & Andreas Pitsillides, 2018. "Broadening Understanding on Managing the Communication Infrastructure in Vehicular Networks: Customizing the Coverage Using the Delta Network," Future Internet, MDPI, vol. 11(1), pages 1-19, December.
    2. Giovanni Pau & Tiziana Campisi & Antonino Canale & Alessandro Severino & Mario Collotta & Giovanni Tesoriere, 2018. "Smart Pedestrian Crossing Management at Traffic Light Junctions through a Fuzzy-Based Approach," Future Internet, MDPI, vol. 10(2), pages 1-19, February.
    3. 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.
    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. Arpad Takacs & Tamas Haidegger, 2024. "A Method for Mapping V2X Communication Requirements to Highly Automated and Autonomous Vehicle Functions," Future Internet, MDPI, vol. 16(4), pages 1-20, March.
    2. Ioannis Galanis & Iraklis Anagnostopoulos & Priyaa Gurunathan & Dona Burkard, 2019. "Environmental-Based Speed Recommendation for Future Smart Cars," Future Internet, MDPI, vol. 11(3), pages 1-18, March.

    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. Ioannis Galanis & Iraklis Anagnostopoulos & Priyaa Gurunathan & Dona Burkard, 2019. "Environmental-Based Speed Recommendation for Future Smart Cars," Future Internet, MDPI, vol. 11(3), pages 1-18, March.
    2. Arpit Jain & Jaspreet Singh & Sandeep Kumar & Țurcanu Florin-Emilian & Mihaltan Traian Candin & Premkumar Chithaluru, 2022. "Improved Recurrent Neural Network Schema for Validating Digital Signatures in VANET," Mathematics, MDPI, vol. 10(20), pages 1-23, October.
    3. 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.
    4. Auwal Alhassan Musa & Salim Idris Malami & Fayez Alanazi & Wassef Ounaies & Mohammed Alshammari & Sadi Ibrahim Haruna, 2023. "Sustainable Traffic Management for Smart Cities Using Internet-of-Things-Oriented Intelligent Transportation Systems (ITS): Challenges and Recommendations," Sustainability, MDPI, vol. 15(13), pages 1-15, June.

    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:gam:jftint:v:11:y:2019:i:2:p:27-:d:200356. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.