A number of companies have been investing in the development of coaching service for professional drivers, with as goal to teach them eco-driving and reduce fuel usage. For this a clear perception is needed of the amount of variation in fuel consumption that can be actually attributed to driving behavior. Currently Scania vehicles are equipped with monitoring devices which generate both driver and vehicle based data. This allows us to relate fuel consumption with data gathered using the CANBUS and other sources like weather. To model the relation, we used predictive analytics together with a Scania database of over 3 million trips driven within the last year in 7EU countries. In this paper we will explain the methods used and the models obtained, allowing for comparisons of the impact of Eco-driving coaching for different fleets and countries. We will also discuss unexpected statistical relations encountered during the analysis. We propose an ‘EEOC’ (estimated effect of coaching) which gives us a realistic estimate, based on data mining techniques, of the amount of reduction that could be gained by training and coaching drivers to change their driving behavior permanently.

1. Modelling the relation between
driving and fuel consumption
Laurens Lapré
Lead ITS Business Consultant
CGI The Netherlands

2. Service Setup

3. Analysis Cycle

4. Example Table

5. Resulting Fuel Model

6. Use Case

7. Estimated effect of Coaching
• Currently Scania vehicles are equipped with monitoring devices which
generate both driver and vehicle based data.
• We used predictive analytics to model the relation between driving behaviour
and fuel consumption based on a Scania database of over 3 million trips
driven within the last year in 7 EU countries.
• We used this to estimate the effect of eco driving on other countries.