TY - JOUR
T1 - Detection of driving distractions and their impacts
AU - Shajari, Arian
AU - Asadi, Houshyar
AU - Glaser, Sebastien
AU - Arogbonlo, Adetokunbo
AU - Mohamed, Shady
AU - Kooijman, Lars
AU - Abu Alqumsan, Ahmad
AU - Nahavandi, Saeid
N1 - Funding Information:
This work was supported by the Institute for Intelligent Systems Research and Innovation of Deakin University. Open-access publishing was facilitated by Deakin University, as part of the Wiley-Deakin University agreement via the Council of Australian University Librarians.
Publisher Copyright:
Copyright © 2023 Arian Shajari et al.
PY - 2023
Y1 - 2023
N2 - For decades, road crashes have caused many deaths and injuries and generally have had a severe social and economic impact on societies. According to studies, driver distraction has led to an increase in driving-related risks. In recent years, there have been more distracting factors that commonly affect drivers, highlighting the need for a resolution. Therefore, as technology is becoming more advanced, there is an opportunity to minimize these risks, for which driver distraction detection would be required. As there are a variety of distractions that might affect drivers and their performance, there are many studies focusing on this topic. To better understand the field of driver distraction detection, this paper has reviewed the existing studies in this field. For this purpose, different variables of the existing methodologies and experimental setups are identified and explained. Also, the results of these experiments and the impacts of different distraction factors on drivers’ physiological responses, visual signals, or their performances are categorized and described. Furthermore, this study discusses the factors of the existing methodologies and their results, along with pointing out the research gaps. The purpose of this study is to assist future research and investigation in this field, by creating a review that comprehensively covers different aspects of existing studies and discusses and assesses their methodologies and findings.
AB - For decades, road crashes have caused many deaths and injuries and generally have had a severe social and economic impact on societies. According to studies, driver distraction has led to an increase in driving-related risks. In recent years, there have been more distracting factors that commonly affect drivers, highlighting the need for a resolution. Therefore, as technology is becoming more advanced, there is an opportunity to minimize these risks, for which driver distraction detection would be required. As there are a variety of distractions that might affect drivers and their performance, there are many studies focusing on this topic. To better understand the field of driver distraction detection, this paper has reviewed the existing studies in this field. For this purpose, different variables of the existing methodologies and experimental setups are identified and explained. Also, the results of these experiments and the impacts of different distraction factors on drivers’ physiological responses, visual signals, or their performances are categorized and described. Furthermore, this study discusses the factors of the existing methodologies and their results, along with pointing out the research gaps. The purpose of this study is to assist future research and investigation in this field, by creating a review that comprehensively covers different aspects of existing studies and discusses and assesses their methodologies and findings.
UR - http://www.scopus.com/inward/record.url?scp=85171872017&partnerID=8YFLogxK
U2 - 10.1155/2023/2118553
DO - 10.1155/2023/2118553
M3 - Review Article
AN - SCOPUS:85171872017
SN - 0197-6729
VL - 2023
JO - Journal of Advanced Transportation
JF - Journal of Advanced Transportation
M1 - 2118553
ER -