Graduate School and Research Center in Digital Sciences

A definition and framework for vehicular knowledge networking

Deveaux, Duncan; Higuchi, Takamasa; Uçar, Seyhan; Härri, Jérôme; Altintas, Onur

Submitted to ArXiV, 29 May 2020

To operate intelligent vehicular applications such as automated driving, machine learning, artificial intelligence and other mechanisms are used to abstract from information what is commonly referred to as knowledge. Defined as a state of understanding obtained through experience and analysis of collected information, knowledge is promising for vehicular applications. However, it lacks a unified framework to be cooperatively created and shared to achieve its full potential. This paper investigates on the meaning and scope of knowledge applied to vehicular networks, and suggests a structure for vehicular knowledge description, storage and sharing. Through the example of passenger comfort-based rerouting, it exposes the potential benefits for network load and delay of such knowledge structuring. 

Arxiv Bibtex

Title:A definition and framework for vehicular knowledge networking
Type:Conference
Language:English
City:
Date:
Department:Communication systems
Eurecom ref:6279
Copyright: © EURECOM. Personal use of this material is permitted. The definitive version of this paper was published in Submitted to ArXiV, 29 May 2020 and is available at :
Bibtex: @inproceedings{EURECOM+6279, year = {2020}, title = {{A} definition and framework for vehicular knowledge networking}, author = {{D}eveaux, {D}uncan and {H}iguchi, {T}akamasa and {U}{\'c}ar, {S}eyhan and {H}{\"a}rri, {J}{\'e}r{\^o}me and {A}ltintas, {O}nur}, booktitle = {{S}ubmitted to {A}r{X}i{V}, 29 {M}ay 2020}, address = {}, month = {05}, url = {http://www.eurecom.fr/publication/6279} }
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