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

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Presentation transcript:

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

ECOeffect Package (c) IRU Academy 2013 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

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

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

Theory 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 SAFETY FIRST !!!

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

Training results HSF Poland (c) IRU Academy 2013 TRIP 1 Average consumption TRIP 2 Average consumption 32,9 L/100 km28,9 L/100 km (deviation between 23,8 and 55L / 100km)(deviation between 22,6 and 45L / 100km) Average reduction in consumption (L /100km) = - 4 L/100km Average reduction in fuel consumption during training Number of drivers trained: 670 drivers trained Accomplished by: HSF Logistics and Vive Transport Training results from May 2011 to August 2013 (14 months) Training performed by 20 ECOeffect certified internal trainers, measured with EETS Training trips: all kind of road circumstances, approx. 35 km

Training results Romania (c) IRU Academy 2013 TRIP 1 Average consumption TRIP 2 Average consumption 29,52L / 10026,79L / 100 Average reduction in consumption (L /100km) = - 2,7L / 100 km Average reduction in fuel consumption during training Number of drivers trained: more than 700 drivers Accomplished by: Cartrans Preda, Com Divers, Duvenbeck, Hoedlmayr, Holleman, Intl. Lazar Cy, Labirint, Lagermax, Logistics RO Tir, Vectra Intl, Willi Betz Training results from May 2011 to August 2013 (15 months) Training performed by certified trainers, at 11 companies, measured with EETS

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 consumption during 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

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”. Bogdan Cosmulescu, Fleet Manager Hoedlmayr-Lazar, Romania (c) IRU Academy 2013

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

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

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

Monitoring Follow-up of drivers’ performance results on a permanent basis: Analysis of reduction in fuel consumption in relation to situation prior to training: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 driversMonthly feedback to trained drivers Quarterly analysis of “corrective actions”:Quarterly analysis of “corrective actions”: - Who needs corrective actions - What type of corrective actions - Who will undertake these actions Continued Follow-Up after corrective actionsContinued Follow-Up after corrective actions (c) IRU Academy 2013

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

FuelConsumptionFuelConsumption DriverDriver VehicleTypeWeightVehicleTypeWeight Environment Traffic density Road Type Short/long distance Environment Traffic density Road Type Short/long distance Focus on driver (c) IRU Academy 2013

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

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

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

EcoScore by KDC (c) IRU Academy 2013 In order to improve on specific driving skills, subscores are available for: - -Anticipation - - Gearing - -Acceleration - - Idling - -Technology 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). EcoScore = objective evaluation of driver skills based on driver’s event queues while driving

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

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

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

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

Training – Impact on consumption (c) IRU Academy 2013 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

Duvenbeck ROU CO 2 savings (c) IRU Academy 2013 Drop in CO tons saved since start ECOeffect training, cumulated on kilometers driven after training

CO 2 savings cumulated (c) IRU Academy 2013 Total savings CO2: kg CO2Total savings CO2: kg CO2 Total km driven: Total km driven: Average savings: 18,18 g/km CO2Average savings: 18,18 g/km CO2

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

Thank you !