Detection of distracted driving through the analysis of real-time driver, vehicle, and roadway volatilities-Reference-Cited by-同舟云学术

Detection of distracted driving through the analysis of real-time driver, vehicle, and roadway volatilities

Published:2024-04-16 Issue: Volume: Page:1-22
ISSN:1943-9962
Container-title:Journal of Transportation Safety & Security
language:en
Short-container-title:Journal of Transportation Safety & Security

Author:

Usman Sheikh M.¹,Khattak Asad J.¹^ORCID,Chakraborty Subhadeep²,Mahdinia Iman³,Tavassoli Riley²

Affiliation:

1. Department of Civil & Environmental Engineering, The University of Tennessee, Knoxville, Knoxville, Tennessee, USA

2. Department of Mechanical, Aerospace, and Biomedical Engineering, The University of Tennessee, Knoxville, Knoxville, Tennessee, USA

3. Safe Transportation Research & Education Centre, University of California, Berkeley, Berkeley, California, USA

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/19439962.2024.2341393

Reference44 articles.

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2. Arvin, R., & Khattak, A. J. (2020). Harnessing big data generated by connected vehicles to monitor safety performance: Application of geographically weighted negative binomial regression. Paper Presented at the Transportation Research Board 99th Annual Meeting.

3. The role of pre-crash driving instability in contributing to crash intensity using naturalistic driving data

4. Safety critical event prediction through unified analysis of driver and vehicle volatilities: Application of deep learning methods

5. A context aware system for driving style evaluation by an ensemble learning on smartphone sensors data