Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)

Complex Network Theory in Urban Traffic Network

Authors
Mengxin Li, Jingyi Han
Corresponding Author
Mengxin Li
Available Online May 2017.
DOI
10.2991/msmee-17.2017.175How to use a DOI?
Keywords
complex network, road network, public transportation network, track network
Abstract

In this paper, the statistical characteristics of complex networks are introduced, and basic four kinds of models of complex networks are analyzed. Based on the theory of complex network, it is carried out about the research on the three networks such as road network, bus network and track network in urban transportation system. The topological characteristics of the networks in urban transportation system are accordingly illustrated. The complex network theory for three kinds of network research is discussed according to the topological characteristics from dynamic analysis with two aspects. Finally, the research difficulties and direction are presented.

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 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
Series
Advances in Engineering Research
Publication Date
May 2017
ISBN
978-94-6252-346-3
ISSN
2352-5401
DOI
10.2991/msmee-17.2017.175How 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  - Mengxin Li
AU  - Jingyi Han
PY  - 2017/05
DA  - 2017/05
TI  - Complex Network Theory in Urban Traffic Network
BT  - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
PB  - Atlantis Press
SP  - 910
EP  - 913
SN  - 2352-5401
UR  - https://doi.org/10.2991/msmee-17.2017.175
DO  - 10.2991/msmee-17.2017.175
ID  - Li2017/05
ER  -