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Monitoring results for ensuring real behavioral changes

Monitoring results for ensuring real behavioral changes. Vilnius, 17 September 2013. Mr. Kris Jooris Key Driving Competences, Belgium. ECOeffect Package. Training methodology for TTT and EDP training Licensing EETS as training tool to ECOeffect partners

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Monitoring results for ensuring real behavioral changes

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  1. Monitoring results for ensuring real behavioral changes Vilnius, 17 September 2013 Mr. Kris JoorisKey Driving Competences, Belgium (c) IRU Academy 2013

  2. ECOeffect Package Training methodology for TTT and EDP training Licensing EETS as training tool to ECOeffect partners Follow-up on quality of trainings delivered (c) IRU Academy 2013 (c) IRU Academy 2013

  3. EETS System RPM diagram Fuel consumption Speed Gear Accelerati-on Fuel consumption # stops # braking Accelerator Speed Driver’s name Green zone Signals are taken from can bus on high frequency (c) IRU Academy 2013

  4. Quality Assurance REPORTING on training results with EETS For Quality Assurance on the deployment of ECOeffect trainings: ALL training trips registered with EETS are stored on KDC server after replication by training company or internal fleet trainer (c) IRU Academy 2013

  5. Theory SAFETY FIRST !!! ECOeffect main principles on eco-driving: • Anticipation look further and wider. • Drive fluently, avoid unnecessary braking's and stops • Drive at a constant speed in the highest possible gear (c) IRU Academy 2013

  6. Individual training report EETS TRAINING SYSTEM Full release accelerator pedal Lower # of brakings (c) IRU Academy 2013

  7. Training results HSF Poland -12,24% (c) IRU Academy 2013

  8. Training results Romania -9,24% (c) IRU Academy 2013

  9. Participants feedback ”By implementing the ECOeffect system, drivers learn to drive economically, to better manage the truck and the result is: fuel economy, less cost for repairs and less downtime when the truck does not generate profit. Until now we've trained 36 drivers and already we notice an improvement in truck exploitation. The greatest reduction in fuel consumptionduring the course was 3,7 l / 100km. We train 4 drivers per week, so until October 2013, we will train about 190 drivers from our company.” Albu Attila, Fleet Manager Duvenbeck, Romania (c) IRU Academy 2013

  10. Participants feedback ”The ECOeffect program at which Hoedlmayr-Lazar Romania, had the honour to participate, can lead to a greater efficiency of our business. ECOeffect program will also help our company to save fuel, money and time. In the next period we have planned theoretical and practical training through which will pass all company drivers, so they will be familiar with the new trends in transport”. BogdanCosmulescu, Fleet Manager Hoedlmayr-Lazar, Romania (c) IRU Academy 2013

  11. ATM approach Optimize results… by installing dynamic ATM model in your company Good driving Practices (c) IRU Academy 2013

  12. Assessment Analysis of the driver’s competences: • Use an objective way to evaluate strengths and weaknesses of each driver • Organise an evaluation trip with each driver • Use a well known route (reference to know what to expect) • Record trip and trip data • Debrief results of evaluation trip with driver (c) IRU Academy 2013

  13. Training Combination of practical and theory training works best: • Two drivers per trainer • Per driver: half day of training (not part of driver’s commercial activities) • Focus on practice • Supported by theory • Public roads: predefined route • Competence analysis: Report with measurement results and focus points for each driver in EETS (c) IRU Academy 2013

  14. Monitoring Follow-up of drivers’ performance results on a permanent basis: • Analysis of reduction in fuel consumption in relation to situation prior to training: • For the whole group of trained drivers • For each individual driver • Monthly feedback to trained drivers • Quarterly analysis of “corrective actions”: • Who needs corrective actions • What type of corrective actions • Who will undertake these actions • Continued Follow-Up after corrective actions (c) IRU Academy 2013

  15. Why measure driver performance ? Average weight, not constant (33-41 T) Consumptiondecreases, then steadily increases When did the driver perform well? (c) IRU Academy 2013

  16. Focus on driver Fuel Consumption Environment Traffic density Road Type Short/long distance Driver Vehicle Type Weight (c) IRU Academy 2013

  17. How to measure driving behaviour? Objective Score Qualitative analysis of driving behaviour, independent from vehicle, activity, environment,… Qualitative analysis Evaluating events Quantitative measuring Measuring fuel events (e.g. fuel consumption) (c) IRU Academy 2013

  18. QuaNtitative vs QuaLitative • QuaNtitative • Statistics of vehicle metrics are not directly related to driver performance • Difficult interpretation: very detailed knowledge of external conditions is needed • External conditions are changing from day to day, trip to trip, … QuaLitative • Evaluate the actions made by the driver • Fuel consumption is not an input for the scoring • A good driver score will lead to a low fuel consumption • Ready to use for permanent evaluation and leader boards on driver competences (c) IRU Academy 2013

  19. Tools for monitoring A wide range of telematic providers .... which offer also features to monitor driver performance (c) IRU Academy 2013

  20. EcoScore by KDC EcoScore = objective evaluation of driver skills based on driver’s event queues while driving In order to improve on specific driving skills, subscores are available for: • Anticipation • Gearing • Acceleration • Idling • Technology Total score is weighted sum of subscores : Anticipation (1/3), Gearing (1/3), Acceleration (1/6), Idling (1/12) and Technology (1/12). (c) IRU Academy 2013

  21. Event Based Scoring HOW BAD ? HOW GOOD ? BAD ? GOOD ? Score = evaluation of ‘good’ and ‘bad’ (c) IRU Academy 2013

  22. ECOeffect monitoring Quantitative evaluation (c) IRU Academy 2013

  23. HSF Polandlonger term results • Seasonal trend in fuel consumption – impact of changing weather conditions • Current level of fuel consumption significantly lower than before training in ECOeffect project (c) IRU Academy 2013

  24. Duvenbeck ROU longer term results • Long-term downward trend in fuel consumption: 7% savings , measured 8 months after the ECOeffect project started • Seasonal trend in fuel consumption – impact of changing weather conditions • Current level of fuel consumption significantly lower than before training in ECOeffect project: savings are – 1,8L/100 km (c) IRU Academy 2013

  25. Training – Impact on consumption A significant difference between the monthly consumption of the drivers trained (yellow line) versus untrained drivers (blue line): -4.4% as average for 6 months (c) IRU Academy 2013

  26. Duvenbeck ROUCO2 savings Drop in CO2-145 tons saved since start ECOeffect training, cumulated on 2.750.000 kilometers driven after training (c) IRU Academy 2013

  27. CO2 savings cumulated Total savings CO2: 243.669 kg CO2 Total km driven: 13.404.961 Average savings: 18,18 g/km CO2 (c) IRU Academy 2013

  28. ECOeffect Competition Champion driver selection is based on: personal training result registered with EETS – 30% weight; personal evolution in consumption before and after training measured 3 months after training – 70 % weight. Champion company selection is based on: personal results during the training – 20% weight; company learning profile after training – 60% weight; coverage / roll-out within the company – 20% weight. (c) IRU Academy 2013

  29. Thank you ! (c) IRU Academy 2013

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