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A Sensor Based Peer to Peer Vehicle Data Sharing System, An Internet of Vehicles Approach
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Malmö University, Internet of Things and People (IOTAP). Department of Electrical Electronic and Computer Engineering, University of Pretoria, Pretoria, 0002, South Africa.ORCID iD: 0000-0002-2763-8085
Department of Electrical, Electronic and Computer Engineering, University of Pretoria, South Africa.
Department of Electrical, Electronic and Computer Engineering, University of Pretoria, South Africa.
Department of Engineering, Aarhus University, Aarhus, Denmark.
2018 (English)In: Journal of Internet Technology, ISSN 1607-9264, E-ISSN 2079-4029, Vol. 19, no 7, p. 2155-2162Article in journal (Refereed) Published
Abstract [en]

This paper describes the work that has been done in the design and development of a vehicular peer-to-peer data sharing system, with the objectives of increasing the situational awareness of the motorist and to reduce or eliminate accidents. Sensors are used to detect objects along the road that a vehicle is travelling on. This information is then displayed to the motorist and warning messages are relayed to peer vehicles through vehicle to vehicle communication. To improve the situational awareness of the motorist, each vehicle can receive and send information to a road side unit, through vehicle to infrastructure communication. A central server remotely manages and monitors the overall peer-to-peer system. Qualification tests are conducted to validate various aspects of the system. The results indicate that the system is capable of vehicle to vehicle communication and vehicle to infrastructure communication communication for sharing information to prevent accidents and promote safe driving.

Place, publisher, year, edition, pages
Taiwan Academic Network , 2018. Vol. 19, no 7, p. 2155-2162
Keywords [en]
Peer-to-peer, Vehicle-to-vehicle, Vehicle-to- infrastructure, Internet of Vehicle
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mau:diva-2590DOI: 10.3966/160792642018121907018ISI: 000456521800018Scopus ID: 2-s2.0-85071186392Local ID: 28042OAI: oai:DiVA.org:mau-2590DiVA, id: diva2:1399353
Available from: 2020-02-27 Created: 2020-02-27 Last updated: 2024-06-17Bibliographically approved

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Publisher's full textScopushttps://jit.ndhu.edu.tw/article/view/1865

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Malekian, Reza

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