research-article

Vehicular knowledge networking and application to risk reasoning

Authors:

Takamasa Higuchi,

Chang-Heng Wang,

Duncan Deveaux,

Jérôme Härri,

Onur AltintasAuthors Info & Claims

Mobihoc '20: Proceedings of the Twenty-First International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing

Pages 351 - 356

https://doi.org/10.1145/3397166.3413467

Published: 11 October 2020 Publication History

Abstract

Vehicles are expected to generate and consume an increasing amount of data, but how to perform risk reasoning over relevant data is still not yet solved. Location, time of day and driver behavior change the risk dynamically and make risk assessment challenging. This paper introduces a new paradigm, transferring information from raw sensed data to knowledge and explores the knowledge of risk reasoning through vehicular maneuver conflicts. In particular, we conduct a simulation study to analyze the driving data and extract the knowledge of risky road users and risky locations. We use knowledge to facilitate reduced volume and share it through a Vehicular Knowledge Network (VKN) for better traffic planning and safer driving.

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Cited By

Deveaux DHiguchi TUçar SHärri JAltintas O(2024)Role of context in determining transfer of risk knowledge in roundaboutsComputer Communications10.1016/j.comcom.2023.10.016213:C(111-134)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1016/j.comcom.2023.10.016
Wijesekara PGunawardena S(2023)A Comprehensive Survey on Knowledge-Defined NetworkingTelecom10.3390/telecom40300254:3(477-596)Online publication date: 2-Aug-2023
https://doi.org/10.3390/telecom4030025
Wijesekara PGunawardena S(2023)A Review of Blockchain Technology in Knowledge-Defined Networking, Its Application, Benefits, and ChallengesNetwork10.3390/network30300173:3(343-421)Online publication date: 30-Aug-2023
https://doi.org/10.3390/network3030017
Show More Cited By

Index Terms

Vehicular knowledge networking and application to risk reasoning
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
      1. Reasoning about belief and knowledge
2. Networks
  1. Network services
    1. Cloud computing
  2. Network types
    1. Ad hoc networks

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cover image ACM Conferences

Mobihoc '20: Proceedings of the Twenty-First International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing

October 2020

384 pages

ISBN:9781450380157

DOI:10.1145/3397166

General Chairs:
Tommaso Melodia
Northeastern University
,
Eylem Ekici
The Ohio State University
,
Program Chairs:
Alhussein Abouzeid
Rensselaer Polytechnic Institute
,
Minghua Chen
City University of Hong Kong

Copyright © 2020 ACM.

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SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing

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New York, NY, United States

Publication History

Published: 11 October 2020

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Mobihoc '20: The Twenty-first ACM International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing

October 11 - 14, 2020

Virtual Event, USA

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Overall Acceptance Rate 296 of 1,843 submissions, 16%

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Cited By

Deveaux DHiguchi TUçar SHärri JAltintas O(2024)Role of context in determining transfer of risk knowledge in roundaboutsComputer Communications10.1016/j.comcom.2023.10.016213:C(111-134)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1016/j.comcom.2023.10.016
Wijesekara PGunawardena S(2023)A Comprehensive Survey on Knowledge-Defined NetworkingTelecom10.3390/telecom40300254:3(477-596)Online publication date: 2-Aug-2023
https://doi.org/10.3390/telecom4030025
Wijesekara PGunawardena S(2023)A Review of Blockchain Technology in Knowledge-Defined Networking, Its Application, Benefits, and ChallengesNetwork10.3390/network30300173:3(343-421)Online publication date: 30-Aug-2023
https://doi.org/10.3390/network3030017
Ucar SHiguchi TAltintas OOguchi K(2023)Remote Vehicular Micro Clouds2023 IEEE Vehicular Networking Conference (VNC)10.1109/VNC57357.2023.10136322(191-194)Online publication date: 26-Apr-2023
https://doi.org/10.1109/VNC57357.2023.10136322
Ucar SHiguchi TAltintas O(2022)Risk Avoidance by Vehicular Knowledge Networking2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)10.1109/VTC2022-Spring54318.2022.9861035(1-5)Online publication date: Jun-2022
https://doi.org/10.1109/VTC2022-Spring54318.2022.9861035
Belhadi ADjenouri YSrivastava GCano ALin J(2022)Hybrid Group Anomaly Detection for Sequence Data: Application to Trajectory Data AnalyticsIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2021.311406423:7(9346-9357)Online publication date: Jul-2022
https://doi.org/10.1109/TITS.2021.3114064
Ucar SHiguchi TWang CDeveaux DAltintas OHarri J(2022)Vehicular Knowledge Networking and Mobility-Aware Smart Knowledge Placement2022 IEEE 19th Annual Consumer Communications & Networking Conference (CCNC)10.1109/CCNC49033.2022.9700568(593-598)Online publication date: 8-Jan-2022
https://doi.org/10.1109/CCNC49033.2022.9700568
Deveaux DHiguchi TUçar SWang CHärri JAltintas O(2021)Extraction of Risk Knowledge from Time To Collision Variation in Roundabouts2021 IEEE International Intelligent Transportation Systems Conference (ITSC)10.1109/ITSC48978.2021.9564570(3665-3672)Online publication date: 19-Sep-2021
https://dl.acm.org/doi/10.1109/ITSC48978.2021.9564570

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