LE MANOIR RICHELIEU, QUEBEC, CANADA – At the National Tank Truck Carrier’s Summer Board Meeting, FleetRisk Advisors announced the production implementation of an advanced predictive modeling and risk analytics system for Dupre’ Transport, LLC. The initiative began as a pilot project in 2005 using data aggregation and pattern recognition technology to identify risk signatures of drivers, vehicles, and schedules. The pilot focused on which drivers were most likely to be involved in an accident or service failure. The production phase began in the first quarter of 2006, enabling Dupre’ to devise new risk management and performance monitoring strategies with the aim of simultaneously reducing operational costs and mitigating risks. The primary business objective of the production implementation was to combine historical data with the current month’s operational data to predict next month’s safety performance. In order to accomplish this, FleetRisk implemented a new processing platform at Dupre’, which consists of:

• QUALCOMM FleetAdvisor fleet management system.
  

• Circadian Alertness Simulator.
  

• TMW dispatch system.
  

• Profile XT — driver profiling.
  

• Internal accident & incident system.
  

• Internal human resources and training programs.
  

• Internal vehicle & fixed asset systems.
  

• Interfaces to external data such as population density, zip code, weather, traffic.
  

• New predictive models incorporating the expanded datasets.

  At the end of each month the predictive models rank current drivers against a statistical and demographic profile of Dupre’ Transport’s theoretical best and safest driver. Each tier represents one third of the current driver population. Tier 1 drivers represent the “best and safest,” while Tier 3 represents those needing the most attention. At the end of each month, actual accident results are compared to the model’s predictions. Tier 1 drivers (210 in total) have been responsible for only 6 percent of all preventable accidents in the aggregate, while Tier 3 drivers (210 in total) have been responsible for 65 percent of the overall accidents. This predictive segmentation allows Dupre to focus its training and risk mitigation efforts on a small subset of their drivers, rather than the entire driver team.