Identifying Incident Causal Factors to Improve Aviation Transportation Safety: Proposing a Deep Learning Approach
Aviation is a complicated transportation system, and safety is of paramount importance because aircraft failure often involves casualties. Prevention is clearly the best strategy for aviation transportation safety. Learning from past incident data to prevent potential accidents from happening has pr...
Main Authors: | Tianxi Dong, Qiwei Yang, Nima Ebadi, Xin Robert Luo, Paul Rad |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi-Wiley
2021-01-01
|
Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2021/5540046 |
Similar Items
-
Proposal of aviation safety management process.
by: Felipe Alexandre Nascimento Santos
Published: (2004) -
A Human Factors Causal Analysis of the Safety Inspection Data of the Taiwan Aviation Industry
by: Po-Hao Huang, et al.
Published: (2018) -
A Study of the Aviation Safety and Crisis Management─The case for the TransAsia Airways Aviation Occurrence and Serious Incidents
by: Hao-Ying Su, et al.
Published: (2015) -
Sampling Techniques for Class Imbalance Problem in Aviation Safety Incidents Data
by: Lyee Komba, et al.
Published: (2018) -
Aviation safety and the public perception of aviation risk
by: Schmidlin, Matthias
Published: (2006)