TY - JOUR
T1 - Identifying distracted-driving events from on-road observations using a moving vehicle
T2 - A case study in New Jersey
AU - Sajid Hasan, Ahmed
AU - Patel, Deep
AU - Alfaris, Ruqaya
AU - Jalayer, Mohammad
N1 - Funding Information:
This article is based on a research project funded by the New Jersey Division of Highway Traffic Safety (NJDHTS). The authors appreciate the continuous support of Eric Heitmann, the director of NJDHTS, and Joseph Weiss, the transportation safety analyst from the same division.
Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/11
Y1 - 2022/11
N2 - Distracted driving is a major traffic safety concern in the USA. To observe and detect distracted-driving events, various methods (e.g., surveys, videos, and simulations) involving the collection of cross-sectional data from individual subjects have been used in the transportation field. In this study, we employed an unconventional approach of on-road observations using a moving vehicle to collect data on distracted-driving events for multiple subjects in New Jersey. A data-collection crew member continuously navigated selected corridors to record driver-distraction events. A GPS (Global Positioning System) tracker was used to timestamp and record the location of each incident. Two non-parametric tests (Mann–Whitney U test and Kruskal–Wallis test) were performed to identify the significance of the variations in distracted-driving behaviors due to changes in temporal variables (e.g., day of the week, season), the type of roadway, and the geometric properties of the roadway. The results indicated that cellphone use was the leading type of distraction. Additionally, “handheld phone use (phone to ear),” “fidgeting/grooming,” “drinking/eating/smoking,” and “talking to passengers” events were significantly affected by the time of day and the geometric properties of the roadway. The results of this study are expected to assist state and local agencies in promoting awareness of distracted driving with the aim of reducing the frequency and severity of distracted driving-related crashes.
AB - Distracted driving is a major traffic safety concern in the USA. To observe and detect distracted-driving events, various methods (e.g., surveys, videos, and simulations) involving the collection of cross-sectional data from individual subjects have been used in the transportation field. In this study, we employed an unconventional approach of on-road observations using a moving vehicle to collect data on distracted-driving events for multiple subjects in New Jersey. A data-collection crew member continuously navigated selected corridors to record driver-distraction events. A GPS (Global Positioning System) tracker was used to timestamp and record the location of each incident. Two non-parametric tests (Mann–Whitney U test and Kruskal–Wallis test) were performed to identify the significance of the variations in distracted-driving behaviors due to changes in temporal variables (e.g., day of the week, season), the type of roadway, and the geometric properties of the roadway. The results indicated that cellphone use was the leading type of distraction. Additionally, “handheld phone use (phone to ear),” “fidgeting/grooming,” “drinking/eating/smoking,” and “talking to passengers” events were significantly affected by the time of day and the geometric properties of the roadway. The results of this study are expected to assist state and local agencies in promoting awareness of distracted driving with the aim of reducing the frequency and severity of distracted driving-related crashes.
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U2 - 10.1016/j.aap.2022.106827
DO - 10.1016/j.aap.2022.106827
M3 - Article
C2 - 36081224
AN - SCOPUS:85137162061
SN - 0001-4575
VL - 177
JO - Accident Analysis and Prevention
JF - Accident Analysis and Prevention
M1 - 106827
ER -