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Sensors 2018, 18(4), 1233;

IoT On-Board System for Driving Style Assessment

BetterSolutions S.A. Al. Grunwaldzka 103, 80-244 Gdansk, Poland
3DPLab Do Studzienki 28, 80-227 Gdansk, Poland
Blekinge Institute of Technology, Department of Applied Signal Processing, 371 79 Karlskrona, Sweden
Author to whom correspondence should be addressed.
Received: 23 February 2018 / Revised: 7 April 2018 / Accepted: 12 April 2018 / Published: 17 April 2018
(This article belongs to the Special Issue Wireless Sensors Networks in Activity Detection and Context Awareness)
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The assessment of skills is essential and desirable in areas such as medicine, security, and other professions where mental, physical, and manual skills are crucial. However, often such assessments are performed by people called “experts” who may be subjective and are able to consider a limited number of factors and indicators. This article addresses the problem of the objective assessment of driving style independent of circumstances. The proposed objective assessment of driving style is based on eight indicators, which are associated with the vehicle’s speed, acceleration, jerk, engine rotational speed and driving time. These indicators are used to estimate three driving style criteria: safety, economy, and comfort. The presented solution is based on the embedded system designed according to the Internet of Things concept. The useful data are acquired from the car diagnostic port—OBD-II—and from an additional accelerometer sensor and GPS module. The proposed driving skills assessment method has been implemented and experimentally validated on a group of drivers. The obtained results prove the system’s ability to quantitatively distinguish different driving styles. The system was verified on long-route tests for analysis and could then improve the driver’s behavior behind the wheel. Moreover, the spider diagram approach that was used established a convenient visualization platform for multidimensional comparison of the result and comprehensive assessment in an intelligible manner. View Full-Text
Keywords: driver’s behavior; driving style; skills assessment; eco driving; embedded system; internet of things; real-time vehicle tracking driver’s behavior; driving style; skills assessment; eco driving; embedded system; internet of things; real-time vehicle tracking

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Jachimczyk, B.; Dziak, D.; Czapla, J.; Damps, P.; Kulesza, W.J. IoT On-Board System for Driving Style Assessment. Sensors 2018, 18, 1233.

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