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A multi-agent approach towards cooperative overtaking in vehicular networks

Published: 02 June 2014 Publication History

Abstract

This paper deals with the integration of agent technology in the emerging field of vehicular networks. The agents are empowered with domain knowledge and they can perform geospatial and temporal reasoning. For the domain knowledge we developed a vehicular network ontology. The geospatial reasoning is performed with AllegroGraph, while event reasoning in RacerPro. The vehicle overtaking scenario is used to exemplify our solution.

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Cited By

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  • (2021)A Novel Lane Overtaking Approach for Connected Vehicles Using Cooperative Perception2021 IEEE 7th World Forum on Internet of Things (WF-IoT)10.1109/WF-IoT51360.2021.9595955(142-146)Online publication date: 14-Jun-2021
  • (2019)A Design of Cooperative Overtaking Based on Complex Lane Detection and Collision Risk EstimationIEEE Access10.1109/ACCESS.2019.2922113(1-1)Online publication date: 2019
  • (2016)Assisting drivers during overtaking using Car-2-Car communication and multi-agent systems2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP)10.1109/ICCP.2016.7737162(293-299)Online publication date: Sep-2016
  • Show More Cited By

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      cover image ACM Other conferences
      WIMS '14: Proceedings of the 4th International Conference on Web Intelligence, Mining and Semantics (WIMS14)
      June 2014
      506 pages
      ISBN:9781450325387
      DOI:10.1145/2611040
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      • Aristotle University of Thessaloniki

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 02 June 2014

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      Author Tags

      1. agents
      2. cooperation
      3. ontologies
      4. spatial reasoning
      5. temporal reasoning
      6. vehicular networks

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      WIMS '14

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      WIMS '14 Paper Acceptance Rate 41 of 90 submissions, 46%;
      Overall Acceptance Rate 140 of 278 submissions, 50%

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      View all
      • (2021)A Novel Lane Overtaking Approach for Connected Vehicles Using Cooperative Perception2021 IEEE 7th World Forum on Internet of Things (WF-IoT)10.1109/WF-IoT51360.2021.9595955(142-146)Online publication date: 14-Jun-2021
      • (2019)A Design of Cooperative Overtaking Based on Complex Lane Detection and Collision Risk EstimationIEEE Access10.1109/ACCESS.2019.2922113(1-1)Online publication date: 2019
      • (2016)Assisting drivers during overtaking using Car-2-Car communication and multi-agent systems2016 IEEE 12th International Conference on Intelligent Computer Communication and Processing (ICCP)10.1109/ICCP.2016.7737162(293-299)Online publication date: Sep-2016
      • (2015)In-Vehicle NetworksProceedings of the 10th Annual Cyber and Information Security Research Conference10.1145/2746266.2746267(1-8)Online publication date: 7-Apr-2015
      • (2014)An ontology-based model for vehicular ad-hoc networksIEEE 18th International Conference on Intelligent Engineering Systems INES 201410.1109/INES.2014.6909346(83-88)Online publication date: Jul-2014
      • (2014)Consistency checking of safety arguments in the Goal Structuring Notation standard2014 IEEE 10th International Conference on Intelligent Computer Communication and Processing (ICCP)10.1109/ICCP.2014.6936981(59-66)Online publication date: Sep-2014

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