Taylor, Phillip M., Adamu-Fika, Fatimah, Anand, Sarabjot Singh, Dunoyer, Alaine, Griffiths, Nathan and Popham, T. J. (2012) Road type classification through data mining. In: 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. Published in: Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications pp. 233-240. ISBN 9781450317511. doi:10.1145/2390256.2390295

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Abstract

In this paper we investigate data mining approaches to road type classification based on CAN (controller area network) bus data collected from vehicles on UK roads. We consider three related classification problems: road type (A, B, C and Motorway), signage (None, White, Green and Blue) and carriageway type (Single or Double). Knowledge of these classifications has a number of uses, including tuning the engine and adapting the user interface according to the situation. Furthermore, the current road type and surrounding area gives an indication of the driver's workload. In a residential area the driver is likely to be overloaded, while they may be under stimulated on a highway. Several data mining and temporal analysis techniques are investigated, along with selected ensemble classifiers and initial attempts to deal with a class imbalance present in the data. We find that the Random Forest ensemble algorithm has the best performance, with an AUC of 0.89 when used with a wavelet-Gaussian summary of the previous 2.5 seconds of speed and steering wheel angle recordings. We show that this technique is at least as good as a model-based solution that was manually created using domain expertise.

Item Type:	Conference Item (Paper)
Divisions:	Faculty of Science, Engineering and Medicine > Science > Computer Science
Journal or Publication Title:	Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Publisher:	ACM Press
ISBN:	9781450317511
Book Title:	Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications - AutomotiveUI '12
Official Date:	2012
Dates:	Date Event 2012 Published
Page Range:	pp. 233-240
DOI:	10.1145/2390256.2390295
Status:	Peer Reviewed
Publication Status:	Published
Conference Paper Type:	Paper
Title of Event:	4th International Conference on Automotive User Interfaces and Interactive Vehicular Applications
Type of Event:	Conference

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