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Vehicle mobility driven by traditional drivers versus connected drivers

Title
Vehicle mobility driven by traditional drivers versus connected drivers
Author
오희국
Keywords
Clustering coefficient; Connected vehicles; Mobility pattern; Topological structure; Degree distribution; NTERNET; NETWORKS; CHALLENGES; MODELS
Issue Date
2016-08
Publisher
SPRINGER
Citation
WIRELESS NETWORKS, v. 22, No. 6, Page. 1891-1900
Abstract
The traditional vehicle mobility is restricted to the driver habits and the line-of-sight. The new-emerging connected vehicles enable information exchange with each other at vicinity, which will undoubtedly bring a greatly positive effect on the vehicle mobility pattern. In this paper, we propose to modeling and analyzing the vehicle mobility patterns respectively driven by traditional drivers and connected drivers. We perform the extensive simulations to explore the statistical differences between two mobility patterns and the underlying reasons through comparing to the real vehicle trace datasets. The results show that they behave quite diversely at the concerned aspects, e.g. degree distribution, clustering coefficient, topological shortest path, topological coefficient, and vehicle density, and also we find that the connected vehicles are well distributed and contribute a relieved traffic congestion situation.
URI
https://link.springer.com/article/10.1007/s11276-015-1078-xhttp://hdl.handle.net/20.500.11754/68061
ISSN
1022-0038; 1572-8196
DOI
10.1007/s11276-015-1078-x
Appears in Collections:
COLLEGE OF COMPUTING[E] > COMPUTER SCIENCE(소프트웨어학부) > Articles
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