ABSTRACT
Data recording is the act of automatically logging information on system parameters over time. Data recording has become increasingly ubiquitous in rail transport operations. Entire national train fleets are now required to carry recorders which continuously extract data on how individual trains are being driven, at increasing rates, and across an increasing range of parameters. The outflow of data is extensive and growing, yet comparatively neglected. What could it be used for? In this study we argue it could be used
CONTENTS
10.1 Introduction ........................................................................................................................ 103 10.1.1 Data Recording ....................................................................................................... 103 10.1.2 Brief History ........................................................................................................... 104 10.1.3 Pushing the Envelope ............................................................................................ 106 10.1.4 The Black Box Paradox .......................................................................................... 107 10.1.5 Flight (Rail) Data Monitoring ............................................................................... 107 10.1.6 Human Factors Leading Indicators ..................................................................... 108
10.2 Method ................................................................................................................................ 109 10.2.1 Data File and Parameters ...................................................................................... 109 10.2.2 Rolling Stock ........................................................................................................... 109 10.2.3 Journeys and Routes .............................................................................................. 109 10.2.4 Automatic Warning System.................................................................................. 110
10.3 Results and Discussion ..................................................................................................... 112 10.3.1 Behavioral Clusters ................................................................................................ 112 10.3.2 Response Bias ......................................................................................................... 114
10.3.2.1 Sensitivity ................................................................................................. 115 10.3.2.2 Decision Criterion ................................................................................... 116
10.4 Conclusions ......................................................................................................................... 117 Acknowledgments ...................................................................................................................... 118 References ..................................................................................................................................... 118
to tackle the most important strategic risk issues currently faced by rail operators and authorities worldwide.
