Abstract
The purpose of this study was to analyse the possibility of using information from the On Board Diagnostics (OBD) system of the ve-hicle to determine the characteristics of the drivers driving style. Available data from the OBD system were considered and the most useful ones were selected for further investigation. Selected zero-dimensional characteristics of vehicle velocity as well as characteristics of relative position of the accelerator pedal were proposed as criteria for the assessment of driving style. The tests were carried out in conditions of real road traffic using a passenger car with a spark-ignition engine. The car was equipped with a device for recording signals from the OBD system. The tests included two drivers traveling on routes in the urban and rural areas. The obtained results were used to analyse the driving style of both drivers separately in the considered traffic conditions. On this basis, conclusions on the suitabil-ity of information from the OBD system for the assessment of the drivers driving style were formulated.
Highlights
Driving style refers to the way a driver chooses to drive a vehicle
The purpose of this study was to analyse the possibility of using information from the On Board Diagnostics (OBD) system of the vehicle to determine the characteristics of the driver's driving style
In the case of vehicles with combustion engines, the most important is the influence of the driving style on fuel consumption and emission of pollutants
Summary
Driving style differs across individuals or between groups of individuals. It tends to be habitual and relatively permanent, including both automatized skills and more consciously controlled behavior, but at the same time it is determined by the actual driving conditions which create opportunities or constraints for driver’s actions [13]. The study on driving style is of a great importance in various fields related to road transport. It is useful for the research on road safety, plays an important role in the construction of road infrastructure and can be applied to the optimization of driver assistance systems, so they adapt to the particular driver. In the case of vehicles with combustion engines, the most important is the influence of the driving style on fuel consumption and emission of pollutants
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