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Understanding Incident Trends: A Deep Dive Into Train Incidents
B. B.S. Makhanya
,
J. H.C. Pretorius
Postgraduate School of Engineering Management
University of Johannesburg
Research output
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Keyphrases
South Africa
100%
Dive
100%
Vandalism
100%
Locomotive
100%
Correlation Analysis
50%
Out of Service
50%
Unscheduled Maintenance
50%
Railway Safety
50%
Seasonal Pattern
50%
Operational Efficiency
50%
Pattern Analysis
50%
Safety Efficiency
50%
Incident Type
50%
Prophet Model
50%
Time Series Decomposition
50%
Seasonal Correlation
50%
Safety Operation
50%
Primary Incident
50%
Safety Training Programs
50%
Over 50
50%
Significant Relationships
50%
Mathematics
Time Series Decomposition
100%
Seasonal Pattern
100%
Engineering
Accident Prevention
100%
Operational Efficiency
33%
Railway
33%
Computer Science
Seasonal Pattern
100%
Economics, Econometrics and Finance
Time Series
100%