Proceedings of the 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)

Research on Random Flow Simulation Model of Bridges

Authors
Li Cao, Limin Sun
Corresponding Author
Li Cao
Available Online February 2018.
DOI
https://doi.org/10.2991/csece-18.2018.64How to use a DOI?
Keywords
traffic flow; MATLAB; time interval
Abstract
With the rapid development of automobile industry and economy, the randomness of traffic flow characteristics such as vehicle speed and vehicle weight acting on the bridge is more and more obvious. However, the previous studies are based on determination of traffic flow, so fatigue, deflection and other issues of bridges will be deviated from actual situations. Therefore, the model fitting the vehicle characteristics such as vehicle speed, vehicle weight, headway, model proportion and so on is found based on the statistical characteristics of the traffic flow on the actual bridge in this paper. The parameters of the model are statistically determined and the traffic flow program based on Monte-Carlo algorithm is established. Finally, the results show that the above theory can well simulate the actual traffic flow of the bridge through comparing the results of the program with the statistics of an actual bridge.
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Proceedings
2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)
Part of series
Advances in Computer Science Research
Publication Date
February 2018
ISBN
978-94-6252-487-3
ISSN
2352-538X
DOI
https://doi.org/10.2991/csece-18.2018.64How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Li Cao
AU  - Limin Sun
PY  - 2018/02
DA  - 2018/02
TI  - Research on Random Flow Simulation Model of Bridges
BT  - 2018 International Conference on Computer Science, Electronics and Communication Engineering (CSECE 2018)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/csece-18.2018.64
DO  - https://doi.org/10.2991/csece-18.2018.64
ID  - Cao2018/02
ER  -