Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)

Road Traffic Safety Concept Culture Construction Evaluation Methods Based on Fuzzy Analytical Method

Authors
Zhongqing Xie
Corresponding Author
Zhongqing Xie
Available Online November 2016.
DOI
10.2991/icmia-16.2016.110How to use a DOI?
Keywords
The fuzzy analysis method; Concept of traffic safety culture; Risk prediction
Abstract

A road traffic safety culture construction concept was proposed which consisted of criterion layer and index layer. The frequency of issues that folks' focused on were analyzed based on the fuzzy analysis method, furthermore, the research results were classified by discrepancy quantification. At last, the identical degree, discrepancy degree and contrary degree of the three indexes, as well as the total discrepancy, were calculated to analyze the road traffic safety concept; and suggestions were proposed based on the classification of the evaluation index.

Copyright
© 2016, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)
Series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
10.2991/icmia-16.2016.110
ISSN
1951-6851
DOI
10.2991/icmia-16.2016.110How to use a DOI?
Copyright
© 2016, 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  - Zhongqing Xie
PY  - 2016/11
DA  - 2016/11
TI  - Road Traffic Safety Concept Culture Construction Evaluation Methods Based on Fuzzy Analytical Method
BT  - Proceedings of the 2016 5th International Conference on Measurement, Instrumentation and Automation (ICMIA 2016)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmia-16.2016.110
DO  - 10.2991/icmia-16.2016.110
ID  - Xie2016/11
ER  -