The 4 key tools for eco-driving training

A driver's performance and the quality of his driving depend on several factors and behaviors. Each driver is unique, so any eco-driving training must offer a personalized pathway tailored to each driver's personal driving. Thus, training modules as well as simulation exercises must be assigned according to the good habits and weaknesses of the driver while following his progression over time. In addition, driving analysis must be based on the many factors that influence it, such as the type of road, the type of vehicle and the type of load, in order to provide a realistic picture of each driver's performance and to train them in these aspects.

Learning through simulation directly demonstrates to the driver the improvement that can be achieved throughout his training. By providing a safe and controlled environment, the driver can apply his learning with confidence and practice the various techniques taught in order to master them effectively and sustainably. In addition, the simulation offers each driver the opportunity to face a series of driving scenarios allowing him to perfect each of the different eco-driving techniques before they even face them on the road. Thus, drivers will be equipped and experienced before they ever face the various challenges of the road.

In addition to offering drivers a personalized program, it is important to enable autonomous and flexible learning. In order to improve information retention, driver autonomy and motivation levels, a virtual self-training program optimizes learning and adapts to the needs, strengths and weakens of each driver. In addition, by providing easy-to-access digital guides and references, drivers can refer to them during their routes in order to better associate the techniques taught with their real-life experience.

It is essential to bridge the gap between drivers' passive learning and their experience on the road. This is why a real-time assistance system is an essential tool for eco-driving training. Offering visual and auditory signals to drivers based on their driving, this tool allows them to put their learning into practice in a concrete and active way. In this way, each driver will be able to notice their bad habits and correct them automatically - allowing them to gradually make the transition to more efficient, environmentally friendly and safe driving.