DRIVING STYLE ANALYSIS AND DRIVER CLASSIFICATION USING OBD DATA OF A HYBRID ELECTRIC VEHICLE

Andrzej PUCHALSKI, Iwona KOMORSKA
2020 Transport Problems  
Ensuring the effectiveness of adaptive algorithms for advanced driver assistance systems (ADAS) requires online recognition of driving styles. The article discusses studies carried out during real driving cycles based on the GPS parameters and OBD system data of a hybrid vehicle. The work focuses on the search for measures of the speed and acceleration signals of the car and the measures determined on their basis that best describe the driving style responsible for the vehicle traffic safety
more » ... ecological safety. Relations between the type of driver, driving dynamics, and fuel consumption were studied. The driver's categorization was based on a statistical analysis of input signals and mean tractive force (MTF) by clustering.
doi:10.21307/tp-2020-050 fatcat:qlw7rgvhujfilkhbi46sta6lre