Development of a highway driving events identification and classification using smartphone
by Munaf Salim Najim Al-Din; Atef Saleh Al-Mashakbeh
International Journal of Nanoparticles (IJNP), Vol. 12, No. 1/2, 2020

Abstract: In recent years, the use of smartphones has grown significantly due to the increase in their computational capabilities and the integration of advanced sensor technologies. This prevalence of smartphones and advances in machine learning have greatly contributed to the field of vehicular applications in terms of accessible, available and cost. Nevertheless, the accuracy of these applications critically depends on the calibration and pre-processing techniques that is needed to mitigate these problems. This study proposes a set of simple calibration and pre-processing techniques to enhance the accuracy of a smartphone-based driving event detection and classification system. Furthermore, the paper presents a simple and effective approach for the identification and classification of driving events. The approach is based on separating the identification and the classification processes. The dynamic time warping (DTW) technique is used for the identification, while statistical and time metrics features are used for the classification. Results obtained show a high accuracy rate.

Online publication date: Tue, 24-Mar-2020

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Nanoparticles (IJNP):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com