Statistic Characteristics Analysis of Railway Hazard Causation based on Complex Network

DOI

10.2991/ammsa-17.2017.47How to use a DOI?

Keywords

statistic analysis; railway hazard; complex network; hazard causation

Abstract

Quantitative analysis of the potential causes of railway accidents is essential for ensuring the safety of railway. In this context, this paper proposes a directed railway hazard causation network (DRHCN) based on the complex network theory. According to the characteristic of the DRHCN, four statistical characteristic indicators of hazard causation are obtained. The statistic characteristic analysis of the train collision hazard causation is performed. The experimental results show that the proposed DRHCN model and its statistic characteristics can assist us to reveal the latent rules of the railway hazard causation and, hence, greatly prevent the railway accidents.

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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TY  - CONF
AU  - Jintao Liu
AU  - Keping Li
AU  - Wei Zheng
AU  - Chenling Li
PY  - 2017/05
DA  - 2017/05
TI  - Statistic Characteristics Analysis of Railway Hazard Causation based on Complex Network
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
PB  - Atlantis Press
SP  - 218
EP  - 221
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-17.2017.47
DO  - 10.2991/ammsa-17.2017.47
ID  - Liu2017/05
ER  -