Adaptive Driver Modelling for Forward Collision Warning Systems
Typ
Examensarbete för masterexamen
Program
Complex adaptive systems (MPCAS), MSc
Publicerad
2021
Författare
Forsman, Oscar
Warnqvist, Johanna
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
In this work, driving behaviour is analysed with the purpose of finding connections
between a drivers routine driving and their behaviour in collision and near-collision
situations. The ambition is to improve the Forward Collision Warning (FCW) system
on Volvo cars by taking information from previous driving situations of the
current driver into account when determining the best timing for issuing a collision
warning. The analysis is performed by means of feature extraction on multivariate
time series data, containing measurements from various sensors. Using principal
component analysis (PCA) and clustering methods such as k-means and DBSCAN,
no connections relevant to the formulated aim could be found in the investigation.
The conclusion drawn is that a more thorough evaluation of the available data is
required. Removing parts of drive sequences that are not of interest or categorise
the sequences into different scenarios can make the information more comparable
and hence yield a better result. A more careful data cleaning of the available time
series could also lead to an improvement.
Beskrivning
Ämne/nyckelord
ard Collision Warning, FCW, data analysis, clustering, tsfresh, PCA.