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Application of OPC UA Protocol for the Internet of Vehicles

  • AIUT
  • Western Norway University of Applied Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

Nowadays, Advanced Driver Assistance Systems (ADAS) support drivers of vehicles in emergency situations that are connected with vehicular traffic. They help to save people’s lives and minimise the losses in accidents. ADAS use information that is supported by a variety of sensors, which are responsible for tracking the vehicle’s surroundings. Unfortunately, the range of the sensors is limited to several dozen metres and even less in the case of obstacles. This shortens the time for a reaction and, therefore, there may not be enough time to avoid an accident. In order to overcome this drawback, vehicles have to share the information that is available in ADAS. The authors investigated different vehicle-to-vehicle communication possibilities. Based on an analysis of the state of the art, the authors present an original concept that is focused on applying the OPC UA (IEC 62541) communication protocol for services that correspond to the Internet of Vehicles concept.

Original languageEnglish
Title of host publicationComputational Collective Intelligence - 9th International Conference, ICCCI 2017, Proceedings
EditorsPiotr Jedrzejowicz, Gottfried Vossen, George A. Papadopoulos, Ngoc Thanh Nguyen, Bogdan Trawinski
PublisherSpringer Verlag
Pages272-281
Number of pages10
ISBN (Print)9783319670768
DOIs
Publication statusPublished - 2017
Event9th International Conference on Computational Collective Intelligence, ICCCI 2017 - Nicosia, Cyprus
Duration: 27 Sept 2017 → 29 Sept 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10449 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Computational Collective Intelligence, ICCCI 2017
Country/TerritoryCyprus
CityNicosia
Period27/09/17 → 29/09/17

Keywords

  • Advanced Driver Assistance Systems (ADAS)
  • Internet of Vehicles
  • OPC UA (IEC 62541)
  • Smart car
  • Vehicle-to-vehicle communication

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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