Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)

Social Attributes Analysis based on Real Trajectory of Vehicles

Authors
Peng Zhou, Xiaoqiang Xiao, Weixun Ning
Corresponding Author
Peng Zhou
Available Online March 2017.
DOI
10.2991/ifmca-16.2017.37How to use a DOI?
Keywords
social attribute; VANET, trajectory; centricity; preference
Abstract

Social attributes are helpful to improve the performance of network including all kinds of wireless networks. How to discover the social attributes of vehicles trajectory becomes a challenge problem for VANET. Trying to find out the social relationship from the real trajectory becomes an attractive idea. This article refers to the concept centricity and preferences in the social network, obtains the social attributes of the vehicles by analyzing and processing the real trajectory data. The performance of communication can be improved by taking advantage of these attributes because of the better choice of relay nodes.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)
Series
Advances in Engineering Research
Publication Date
March 2017
ISBN
10.2991/ifmca-16.2017.37
ISSN
2352-5401
DOI
10.2991/ifmca-16.2017.37How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Peng Zhou
AU  - Xiaoqiang Xiao
AU  - Weixun Ning
PY  - 2017/03
DA  - 2017/03
TI  - Social Attributes Analysis based on Real Trajectory of Vehicles
BT  - Proceedings of the 2016 International Forum on Mechanical, Control and Automation (IFMCA 2016)
PB  - Atlantis Press
SP  - 228
EP  - 231
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifmca-16.2017.37
DO  - 10.2991/ifmca-16.2017.37
ID  - Zhou2017/03
ER  -