Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)

Highway Costruction Cost Estimation Based on Kalman Filter

Authors
Xiaodong Zang, Feng Ouyang, Feng Tian
Corresponding Author
Xiaodong Zang
Available Online May 2017.
DOI
10.2991/ammsa-17.2017.41How to use a DOI?
Keywords
highway construction; cost estimation; Kalman filter; cost management
Abstract

In order to analyze the highway construction cost trend, and improve cost management level, putting forward using the Kalman filter to estimate the construction cost. Regarding the ratio between actual cost and responsibility cost as the system variable, and demonstrating the feasibility of Kalman filter by contrastive analysis. After giving the initial state, calculating the estimation value by simulation. The simulation result shows the Kalman filter is reasonable for smoothing the actual data, and reflecting the actual trend of construction management level, then helping the enterprise to control its construction cost.

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 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
Series
Advances in Intelligent Systems Research
Publication Date
May 2017
ISBN
978-94-6252-355-5
ISSN
1951-6851
DOI
10.2991/ammsa-17.2017.41How 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  - Xiaodong Zang
AU  - Feng Ouyang
AU  - Feng Tian
PY  - 2017/05
DA  - 2017/05
TI  - Highway Costruction Cost Estimation Based on Kalman Filter
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
PB  - Atlantis Press
SP  - 191
EP  - 194
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-17.2017.41
DO  - 10.2991/ammsa-17.2017.41
ID  - Zang2017/05
ER  -