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Survey of smartphone‐based sensing in vehicles for intelligent transportation system applications
Author(s) -
Engelbrecht Jarret,
Booysen Marthinus Johannes,
Rooyen GertJan,
Bruwer Frederick Johannes
Publication year - 2015
Publication title -
iet intelligent transport systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.579
H-Index - 45
eISSN - 1751-9578
pISSN - 1751-956X
DOI - 10.1049/iet-its.2014.0248
Subject(s) - intelligent transportation system , transport engineering , advanced driver assistance systems , computer science , focus (optics) , field (mathematics) , computer security , engineering , artificial intelligence , physics , mathematics , optics , pure mathematics
Road crashes are a growing concern of governments and are rising to become one of the leading preventable causes of death, especially in developing countries. The ubiquitous presence of smartphones provides a new platform on which to implement sensor networks and driver‐assistance systems, as well as other intelligent transportation system (ITS) applications. In this study, existing approaches of using smartphones for ITS applications are analysed and compared. Particular focus is placed on vehicle‐based monitoring systems, such as driving behaviour and style recognition, accident detection and road condition monitoring systems. Further opportunities for use of smartphones in ITS systems are highlighted, and remaining challenges in this emerging field of research are identified.

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