Naslov
Classification of driving style using car's on- board sensors and neural network

Autori
Matišić, Matej ; Musić, Josip

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), stručni

Izvornik
1st International Multidisciplinary Conference on Computer and Energy Science SpliTech 2016 / - , 2016

ISBN
978-953-290-060-6

Skup
International Multidisciplinary Conference on Computer and Energy Science (SplitTech 2016)

Mjesto i datum
Split, Hrvatska, 13.07.2016. - 15.07.2016

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
driving style; neural networks; OBDII interface; classification

Sažetak
Reckless and aggressive driving in modern cities/states cause significant material cost as well as loss of life. This in turn has significant impact on city/state function as well as health related issues. Thus in the paper a simple but promising approach to car driving style estimation is proposed and tested. It is envisaged to be a part of a larger warning (prevention) system. Three general driving styles (standing, normal driving, aggressive driving) are defined and used. The approach is based on neural network and car/engine data readily available in modern cars through OBDII interface. The approach can also be used to estimated different car parameters. Proposed approach demonstrated high accuracy with 94.7\% and MSE of 0.0353 on the test dataset acquired during 40 minute test drive.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo, Temeljne tehničke znanosti

Napomena
Rad u postupku objavljivanja

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