Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)

Research on Safety Risk Management of Railway Crossing Based on Fuzzy Set Theory

Authors
Lihua Shao, Yu Zhao
Corresponding Author
Lihua Shao
Available Online July 2016.
DOI
10.2991/iccia-17.2017.117How to use a DOI?
Keywords
The Railway Crossing; Safety Risk Management; Fuzzy Set Theory.
Abstract

The railway crossing is the place where the railway and the road cross over the same plane, its security level not only affects the safety of railway traffic, but also affects the city's internal highway and pedestrian safety. Taking the Yellow River Road in Dalian as an Example, Safety risk assessment of railway crossing safety from four aspects: equipment factor, vehicle factor, crossing characteristic factor and management factor, according to the analysis results, the corresponding accident prevention measures should be put forward to improve the safety of the railway crossing and reduce the number of accidents and the losses caused.

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 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
Series
Advances in Computer Science Research
Publication Date
July 2016
ISBN
978-94-6252-361-6
ISSN
2352-538X
DOI
10.2991/iccia-17.2017.117How 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  - Lihua Shao
AU  - Yu Zhao
PY  - 2016/07
DA  - 2016/07
TI  - Research on Safety Risk Management of Railway Crossing Based on Fuzzy Set Theory
BT  - Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
PB  - Atlantis Press
SP  - 684
EP  - 688
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-17.2017.117
DO  - 10.2991/iccia-17.2017.117
ID  - Shao2016/07
ER  -