Monitoring Distracted Driving Behaviours with Smartphones: An Extended Systematic Literature Review

Author:

Papatheocharous Efi1ORCID,Kaiser Christian23ORCID,Moser Johanna2,Stocker Alexander2ORCID

Affiliation:

1. RISE Research Institutes of Sweden, SE-164 40 Kista, Sweden

2. Virtual Vehicle Research GmbH, 8010 Graz, Austria

3. KTM AG, 5230 Mattighofen, Austria

Abstract

Driver behaviour monitoring is a broad area of research, with a variety of methods and approaches. Distraction from the use of electronic devices, such as smartphones for texting or talking on the phone, is one of the leading causes of vehicle accidents. With the increasing number of sensors available in vehicles, there is an abundance of data available to monitor driver behaviour, but it has only been available to vehicle manufacturers and, to a limited extent, through proprietary solutions. Recently, research and practice have shifted the paradigm to the use of smartphones for driver monitoring and have fuelled efforts to support driving safety. This systematic review paper extends a preliminary, previously carried out author-centric literature review on smartphone-based driver monitoring approaches using snowballing search methods to illustrate the opportunities in using smartphones for driver distraction detection. Specifically, the paper reviews smartphone-based approaches to distracted driving behaviour detection, the smartphone sensors and detection methods applied, and the results obtained.

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference119 articles.

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4. Lechner, G., Fellmann, M., Festl, A., Kaiser, C., Kalayci, T.E., Spitzer, M., and Stocker, A. (2009, January 8–12). A lightweight framework for multi-device integration and multi-sensor fusion to explore driver distraction. Proceedings of the International Conference on Advanced Information Systems Engineering, Amsterdam, The Netherlands.

5. Multimodal Corpus Design for Audio-Visual Speech Recognition in Vehicle Cabin;Kashevnik;IEEE Access,2021

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