Most crashes can be related to the actions (or inactions) of the driver. The use of event triggered videos can be used for several purposes in this regard.  First, the video data can characterize the common types of risky behavior for a group of drivers.  This provides a better understanding of the traffic safety issues faced by drivers.  Second, the video data can be examined to investigate the road and traffic conditions that may commonly trigger the risky behaviors.  This provides an explanation for the context of the risky behaviors and provides a basis for training programs that can teach drivers to recognize and avoid those hazard conditions.  Fourth, the video data can be used to exhonerate drivers in crash events not related to their own behaviors.  Finally, the videos themselves can be used as “learning moments” to coach and reward drivers for safer behaviors.  For example, The DriveCam Program reduces collision-related expenses, fuel costs and the risk of audits and lost business for hundreds of commercial fleets worldwide. The company identifies and addresses the causes of poor driving by combining sight and sound with real-time, predictive analytics. With over 500 commercial and government fleet clients, DriveCam monitors 20 billion driving miles annually, while protecting more than 400,000 drivers worldwide.

The overall objective of this research is to better inform driver risk management practices in order to improve fleet safety in the electric power sector. This work will be conducted in phases.  In Phase I, the research aims to lay the exploratory groundwork to identify, characterize and estimate the relative efficacy of using in-cab video in conjunction with active driver risk management for use in a future, dual armed, observational study. Tasks include:

• Acquisition and characterization of available Drive Cam data
• Probability analysis and statistical review of defined events
• Preparation of cases studies
• Development of research plan for a Phase II study.