Ford Completes Driving Experiment with HP

By CIOReview | Tuesday, July 7, 2015

PALO ALTO, CA: To discover the future breakthroughs for better managing fleets, personalized services and recommendations for individual drivers, Ford Motor Company engineers announces the completion of a real-world driving experiment with Hewlett-Packard.

The engineering team gathered data and analyzed it leveraging HP’s Big Data Discovery Experience Services and HP Haven Big Data platform. 

While the former enables to explore data beyond the limitations of legacy technology and practices, the latter is a secure platform for Big Data analytics enabling the delivery of actionable insight where and when it is needed to drive superior business outcomes and gain competitive advantage. Ford has used these two platforms to determine the possibilities for lowering operating costs and optimizing underutilized vehicles for fleets as well as personal driving.

The experiment included HP fleet vehicles equipped with wireless sensors plugged into each vehicle. “The Fleet Insights experiment is one of the first steps to better understand and learn about how driving behavior is changing,” says Marcy Klevorn, Ford Vice President and CIO.

Ford data scientists and IT leaders used the HP Vertica analytics engine, which delivers SQL analytics, part of the HP Haven platform, to explore patterns and multiple dimensions of fleet driver activity.  Also, each driver could access their data using a custom smartphone app to recall trip details, if needed.

“The result of this experiment can help unleash improvements for business operations for fleet management and personal driving experiences,” says Martin Risau, Senior Vice President, Analytics and Data Management Practice, HP Enterprise Services.   

Observations under This Experiment:

  • Regardless of location, most drivers visited the same national coffee house and refueled with the same brand of gasoline.
  • Travelling employees often left their vehicles unused at the airport for days. These vehicles could be utilized more effectively by nearby drivers.
  • 70 percent of trips took place during weekdays and typical trip distances were 13 miles or less.

After the experiment, trips fell into group of four, namely city block driving (34 percent), freeway driving (21 percent), non rush-hour driving (29 percent), and rush-hour driving (16 percent).