Circle of Friends Detection in VANET Based on Trajectory Analysis

Ning Wei-xun; Xiao Xiao-qiang; Zhou Peng

doi:doi:10.11648/j.sd.20160405.16

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Circle of Friends Detection in VANET Based on Trajectory Analysis

Ning Wei-xun, Xiao Xiao-qiang, Zhou Peng

Published in Science Discovery (Volume 4, Issue 5)

Received: 13 October 2016 Accepted: Published: 13 October 2016

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Abstract

Nowadays in the domain of VANET, there are few researches about the social property that based on the social relationship between the vehicle owners which are nodes of VANET. According to the data of vehicles’ GPS track, this text studies the situation of vehicles’ encounter, analyzes the relationship of vehicle owners and applies the method of Community Detection in social network, then the circle of friends in VANET could be found.

Published in	Science Discovery (Volume 4, Issue 5)
DOI	10.11648/j.sd.20160405.16
Page(s)	297-302
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

VANET, Community Detection, GPS Trajectory, Circle of Friends

References

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[2]	Vehicular ad-hoc network. 2007. http://en.wikipedia.org/wiki/Vehicular_ad-hoc_network.
[3]	何宗键,曹建农,郑俊浩.车联社交网络:机遇、挑战和应用[J].中兴通讯技术,2014,01:31-34.
[4]	Abusch-Magder D，et a1．911一NOW：A network on wheels for e—mergency response and disaster recovery operations[J]．BellLabs Technical Journa1，2007，11(4)：113—133.
[5]	金蓓弘,张扶桑,张利锋.车载自组织网络中的数据传递[J].集成技术,2015,4:18-29.
[6]	Castro, P. S., Zhang, D., Chen, C., Li, S., and Pan, G. From taxi GPS traces to social and community dynamics: A survey. ACM Comput. Surv. 46, 2, Article 17 (November 2013), 34 pages.
[7]	Qi, G., Li, X., Li, S., Pan, G., Wang, Z. & Zhang, D. "Measuring social functions of city regions from large scale taxi behaviors". Pervasive Computing and Communications Workshops (PERCOM Workshops), 2011 IEEE International Conference on IEEE, pp. 384.
[8]	Donovan, B. & Work, D. B. (2015). "Using coarse gps data to quantify city-scale transportation system resilience to extreme events". arXiv preprint arXiv:1507.0601.
[9]	尹相杰.社会网络中的社区发现与节点评估算法研究[D].吉林大学,2014.
[10]	Wang, D., Kwon, K., Sohn, J., Joo, B.-G., Chung, I.-J., 2014. Community topical ‘‘fingerprint” analysis based on social semantic networks. In: Advanced Technologies, Embedded and Multimedia for Human-centric Computing. Publishing, pp. 83–91.
[11]	J. Xie, S. Kelley, B. K. Szymanski Overlapping community detection in networks: the state-of-the-art and comparative study ACM Comput. Surv., 45 (4) (2013), pp. 43:1–43:35.
[12]	Ahmad B. Alkhodre. Hybrid fuzzy social mobility modelOriginal Research Article. Karbala International Journal of Modern Science, Volume 2, Issue 1, March 2016, Pages 29-40.

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APA Style

Ning Wei-xun, Xiao Xiao-qiang, Zhou Peng. (2016). Circle of Friends Detection in VANET Based on Trajectory Analysis. Science Discovery, 4(5), 297-302. https://doi.org/10.11648/j.sd.20160405.16

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ACS Style

Ning Wei-xun; Xiao Xiao-qiang; Zhou Peng. Circle of Friends Detection in VANET Based on Trajectory Analysis. Sci. Discov. 2016, 4(5), 297-302. doi: 10.11648/j.sd.20160405.16

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AMA Style

Ning Wei-xun, Xiao Xiao-qiang, Zhou Peng. Circle of Friends Detection in VANET Based on Trajectory Analysis. Sci Discov. 2016;4(5):297-302. doi: 10.11648/j.sd.20160405.16

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@article{10.11648/j.sd.20160405.16,
  author = {Ning Wei-xun and Xiao Xiao-qiang and Zhou Peng},
  title = {Circle of Friends Detection in VANET Based on Trajectory Analysis},
  journal = {Science Discovery},
  volume = {4},
  number = {5},
  pages = {297-302},
  doi = {10.11648/j.sd.20160405.16},
  url = {https://doi.org/10.11648/j.sd.20160405.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20160405.16},
  abstract = {Nowadays in the domain of VANET, there are few researches about the social property that based on the social relationship between the vehicle owners which are nodes of VANET. According to the data of vehicles’ GPS track, this text studies the situation of vehicles’ encounter, analyzes the relationship of vehicle owners and applies the method of Community Detection in social network, then the circle of friends in VANET could be found.},
 year = {2016}
}

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TY  - JOUR
T1  - Circle of Friends Detection in VANET Based on Trajectory Analysis
AU  - Ning Wei-xun
AU  - Xiao Xiao-qiang
AU  - Zhou Peng
Y1  - 2016/10/13
PY  - 2016
N1  - https://doi.org/10.11648/j.sd.20160405.16
DO  - 10.11648/j.sd.20160405.16
T2  - Science Discovery
JF  - Science Discovery
JO  - Science Discovery
SP  - 297
EP  - 302
PB  - Science Publishing Group
SN  - 2331-0650
UR  - https://doi.org/10.11648/j.sd.20160405.16
AB  - Nowadays in the domain of VANET, there are few researches about the social property that based on the social relationship between the vehicle owners which are nodes of VANET. According to the data of vehicles’ GPS track, this text studies the situation of vehicles’ encounter, analyzes the relationship of vehicle owners and applies the method of Community Detection in social network, then the circle of friends in VANET could be found.
VL  - 4
IS  - 5
ER  -

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Author Information

Ning Wei-xun

College of Computer, National University of Defense Technology, Changsha, China
Xiao Xiao-qiang

College of Computer, National University of Defense Technology, Changsha, China
Zhou Peng

College of Computer, National University of Defense Technology, Changsha, China

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Plain Text BibTeX RIS

APA Style

Ning Wei-xun, Xiao Xiao-qiang, Zhou Peng. (2016). Circle of Friends Detection in VANET Based on Trajectory Analysis. Science Discovery, 4(5), 297-302. https://doi.org/10.11648/j.sd.20160405.16

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ACS Style

Ning Wei-xun; Xiao Xiao-qiang; Zhou Peng. Circle of Friends Detection in VANET Based on Trajectory Analysis. Sci. Discov. 2016, 4(5), 297-302. doi: 10.11648/j.sd.20160405.16

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AMA Style

Ning Wei-xun, Xiao Xiao-qiang, Zhou Peng. Circle of Friends Detection in VANET Based on Trajectory Analysis. Sci Discov. 2016;4(5):297-302. doi: 10.11648/j.sd.20160405.16

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@article{10.11648/j.sd.20160405.16,
  author = {Ning Wei-xun and Xiao Xiao-qiang and Zhou Peng},
  title = {Circle of Friends Detection in VANET Based on Trajectory Analysis},
  journal = {Science Discovery},
  volume = {4},
  number = {5},
  pages = {297-302},
  doi = {10.11648/j.sd.20160405.16},
  url = {https://doi.org/10.11648/j.sd.20160405.16},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sd.20160405.16},
  abstract = {Nowadays in the domain of VANET, there are few researches about the social property that based on the social relationship between the vehicle owners which are nodes of VANET. According to the data of vehicles’ GPS track, this text studies the situation of vehicles’ encounter, analyzes the relationship of vehicle owners and applies the method of Community Detection in social network, then the circle of friends in VANET could be found.},
 year = {2016}
}

Copy | Download

TY  - JOUR
T1  - Circle of Friends Detection in VANET Based on Trajectory Analysis
AU  - Ning Wei-xun
AU  - Xiao Xiao-qiang
AU  - Zhou Peng
Y1  - 2016/10/13
PY  - 2016
N1  - https://doi.org/10.11648/j.sd.20160405.16
DO  - 10.11648/j.sd.20160405.16
T2  - Science Discovery
JF  - Science Discovery
JO  - Science Discovery
SP  - 297
EP  - 302
PB  - Science Publishing Group
SN  - 2331-0650
UR  - https://doi.org/10.11648/j.sd.20160405.16
AB  - Nowadays in the domain of VANET, there are few researches about the social property that based on the social relationship between the vehicle owners which are nodes of VANET. According to the data of vehicles’ GPS track, this text studies the situation of vehicles’ encounter, analyzes the relationship of vehicle owners and applies the method of Community Detection in social network, then the circle of friends in VANET could be found.
VL  - 4
IS  - 5
ER  -

Copy | Download