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National Repository of Grey Literature 2 records found  Search took 0.00 seconds. 
Analysis of car drivers’ behaviour and driving style
 Novik, Svatoslav ; Jirgl, Miroslav (referee) ; Mihálik, Ondrej (advisor)
Driving safety remains one of the important issues. Various assistance systems are also implemented, which focus mainly on the analysis of driving and control of the car by the driver. To understand the performance of the driver’s control, a program was created to obtain valuable data and relevant characteristics. To obtain the data, we used an internally designed, laboratory-made vehicle driving simulator. Driver data was measured from the motor vehicle driving simulation, and these were examined and evaluated in the MATLAB environment thanks to integral criteria and other calculated parameters. The obtained values were then used as a training set for the machine learning, using LDA and QDA methods (linear and quadratic discriminant analyzing). This method then provided information on which values are most appropriate and then determines as precisely as possible which driver may be involved in future measures, when this information is not stated in advance.
Detailed record
Analysis of car drivers’ behaviour and driving style
 Novik, Svatoslav ; Jirgl, Miroslav (referee) ; Mihálik, Ondrej (advisor)
Driving safety remains one of the important issues. Various assistance systems are also implemented, which focus mainly on the analysis of driving and control of the car by the driver. To understand the performance of the driver’s control, a program was created to obtain valuable data and relevant characteristics. To obtain the data, we used an internally designed, laboratory-made vehicle driving simulator. Driver data was measured from the motor vehicle driving simulation, and these were examined and evaluated in the MATLAB environment thanks to integral criteria and other calculated parameters. The obtained values were then used as a training set for the machine learning, using LDA and QDA methods (linear and quadratic discriminant analyzing). This method then provided information on which values are most appropriate and then determines as precisely as possible which driver may be involved in future measures, when this information is not stated in advance.
Detailed record

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