Using Fuzzy Logic to Model the Efficiency of Human Drivers.

One of the main goals in the field of Intelligent Transportation systems is to promote the principles of sustainable driving by presenting good practices or systematic prototypes. In this area, one of the less studied elements is the sustainability of Urban Freight Distribution in order to carry out actions oriented to converting the distribution into a more optimal and efficient one. This way, this paper presents the improved final prototype based on a linguistic decision model developed using intelligent systems (fuzzy logic) that obtain an assessment of the efficiency or the lack of it in the driving task. This system has been designed, implemented, tested in simulation and tested and fine tuned in real vehicles in order to analyze its right performance and response.