This paper describes an oilfield services company's approach to the development and application of technology and innovative solutions to improve driving performance based on extensive data analysis. Driving performance data identified potential scenarios where outcome focused solutions can be used to influence driver behaviors and actions. Tailored solutions were identified and implemented, ranging from innovative vehicle enhancements to high technology and mobile applications.

Analysis of global driving performance data, generated over several years, was used to identify trends in the type of vehicle impacts and associated driving conditions as well as driver behaviors. This process enabled the identification of specific issues where targeted solutions could be deployed to reduce undesired outcomes. In some cases, the solutions were within the company control and targeted to the workforce. In other cases, solutions were developed to influence other road users.

Identified solutions include advanced driver assistance systems retrofitted into company vehicles. This technology provides pedestrian and cyclist collision warning, forward collision warning, lane departure warning, headway monitoring warning as well as a speed limit indicator. The instantaneous in-vehicle warnings provide the driver with additional reaction time to avoid potential collisions as well as giving real time feedback on critical behaviors, which act as performance coaching in improving driving performance.

Two innovative mobile technologies have been implemented to target driver behaviors and develop a self-improvement mindset for driving performance as well as engaging drivers in a more active trip risk evaluation. These technologies also assist line management by providing a simple digital trip approval process and the opportunity to give personalized feedback to the driver on their performance, including recognition and targeted coaching. Driving performance data collected is used to encourage healthy competition between individuals and teams through a variety of global and local recognition programs.

Another simple and easily deployable solution to avoiding rear-end collisions, by influencing the behavior of other road users, has reduced this type of impact to company vehicles by over 30%.

Collectively these solutions have resulted in significant improvement to the company's driving performance.

This paper describes how an oilfield services company has used global event data to identify and apply technologies and innovative solutions to improve driving safety through driver engagement and vehicle enhancements. Monitoring of the data generated by these technologies is used to proactively identify further areas of improvement.

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