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Driver crash risk factors and prevalence evaluation using naturalistic driving data

Published on Mar 8, 2016in Proceedings of the National Academy of Sciences of the United States of America9.58
· DOI :10.1073/pnas.1513271113
Thomas A. Dingus34
Estimated H-index: 34
(VT: Virginia Tech),
Feng Guo20
Estimated H-index: 20
(VT: Virginia Tech)
+ 4 AuthorsJonathan M. Hankey16
Estimated H-index: 16
(VT: Virginia Tech)
Sources
Abstract
The accurate evaluation of crash causal factors can provide fundamental information for effective transportation policy, vehicle design, and driver education. Naturalistic driving (ND) data collected with multiple onboard video cameras and sensors provide a unique opportunity to evaluate risk factors during the seconds leading up to a crash. This paper uses a National Academy of Sciences-sponsored ND dataset comprising 905 injurious and property damage crash events, the magnitude of which allows the first direct analysis (to our knowledge) of causal factors using crashes only. The results show that crash causation has shifted dramatically in recent years, with driver-related factors (i.e., error, impairment, fatigue, and distraction) present in almost 90% of crashes. The results also definitively show that distraction is detrimental to driver safety, with handheld electronic devices having high use rates and risk.
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  • References (14)
  • Citations (162)
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References14
Newest
#1Neil D. LernerH-Index: 6
#2Mark FreedmanH-Index: 4
Last. Douglas DuncanH-Index: 1
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Driver behavior and crash rates vary with the presence of passengers but the details of this relationship are not well understood. The literature generally does not take into account the characteristics of passengers, yet effects on crashes may vary dramatically with passenger age and gender. This study estimated the amount of exposure (driving miles) done by various driver age/gender categories with various combinations of passengers. Statistical imputation techniques were used to derive travel...
5 CitationsSource
#1Cher CarneyH-Index: 8
#2Daniel V. McGeheeH-Index: 20
Last. Mireille RabyH-Index: 7
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In-vehicle event recorders (IVERs) have become a widely accepted means of gathering crash data, both in research and real-world applications. In this study, the authors conducted the first-ever large-scale examination of naturalistic crash data. Other naturalistic studies have investigated only a small number of crashes or used near crashes as a proxy for real crashes. In contrast, this project examined hundreds of actual crashes from a naturalistic driving database. The data allowed for an exam...
1 Citations
#1Cher CarneyH-Index: 8
#2Daniel V. McGeheeH-Index: 20
Last. Mireille Raby (UI: University of Iowa)H-Index: 7
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22 Citations
#1Thomas A. DingusH-Index: 7
#2Jonathan M. HankeyH-Index: 16
Last. Loren StoweH-Index: 2
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14 Citations
#1Sheila G. Klauer (VT: Virginia Tech)H-Index: 19
#2Feng GuoH-Index: 20
Last. Thomas A. DingusH-Index: 34
view all 6 authors...
BackgroundDistracted driving attributable to the performance of secondary tasks is a major cause of motor vehicle crashes both among teenagers who are novice drivers and among adults who are experienced drivers. MethodsWe conducted two studies on the relationship between the performance of secondary tasks, including cell-phone use, and the risk of crashes and near-crashes. To facilitate objective assessment, accelerometers, cameras, global positioning systems, and other sensors were installed in...
346 CitationsSource
#1Thomas A. DingusH-Index: 34
#2Richard J HanowskiH-Index: 7
Last. Sheila G. KlauerH-Index: 19
view all 3 authors...
Naturalistic driving research involves the instrumentation of vehicles, including video cameras, for the purpose of precisely recording participants as they normally drive as well as in the seconds leading up to crashes and near-crashes. The results provide new insight into driver behavior and performance that cannot be gained through traditional empirical approaches. Naturalistic driving studies provide context of the overall driving environment, information that is absent from other methods. T...
38 CitationsSource
#1Bruce G. Simons-Morton (NIH: National Institutes of Health)H-Index: 58
#2Marie Claude Ouimet (Université de Sherbrooke)H-Index: 22
Last. Thomas A. Dingus (VT: Virginia Tech)H-Index: 34
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Abstract Purpose The high crash rates of novice teenage drivers are thought to be caused by inexperience and risky driving behavior, exacerbated by passengers, driving at night, and other complex driving conditions. This study examined factors associated with crash/near crash and risky driving rates among novice teenagers, including driving at night versus day, passenger presence and characteristics, and driver psychosocial factors. Method The vehicles of 42 newly licensed teenage drivers were e...
130 CitationsSource
#1Sjaan Koppel (Monash University)H-Index: 22
#2Judith Lynne Charlton (Monash University)H-Index: 29
Last. David Taranto (Monash University)H-Index: 4
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Driver distraction represents a well-documented and growing contribution to the road safety problem. This study used a naturalistic, observational approach to examine if children in vehicles are a significant source of driving distraction. Families with children aged between 1 and 8 years drove an instrumented "study vehicle" on their regular trips for 3 weeks. A discrete video recording system in the vehicle provided images of the driver and front seat passenger, the rear seat child passengers ...
37 CitationsSource
#1Feng Guo (VT: Virginia Tech)H-Index: 20
#2Sheila G. Klauer (VT: Virginia Tech)H-Index: 19
Last. Thomas A. Dingus (VT: Virginia Tech)H-Index: 34
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Naturalistic driving is an innovative method for investigating driver behavior and traffic safety. However, as the number of crashes observed in naturalistic driving studies is typically small, crash surrogates are needed. A study evaluated the use of near crashes as a surrogate measure for assessment of the safety impact of driver behaviors and other risk factors. Two metrics, the precision and bias of risk estimation, were used to assess whether near crashes could be combined with crashes. The...
114 CitationsSource
#1S. P. McEvoy (The George Institute for Global Health)H-Index: 13
#2Mark Stevenson (The George Institute for Global Health)H-Index: 54
Last. Rina Cercarelli (UWA: University of Western Australia)H-Index: 2
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Objectives To explore the effect of drivers’ use of mobile (cell) phones on road safety. Design A case-crossover study. Setting Perth, Western Australia. Participants 456 drivers aged ≥ 17 years who owned or used mobile phones and had been involved in road crashes necessitating hospital attendance between April 2002 and July 2004. Main outcome measure Driver’s use of mobile phone at estimated time of crash and on trips at the same time of day in the week before the crash. Interviews with drivers...
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Cited By162
Newest
#1Kristie Lee Young (Monash University)H-Index: 27
#2Rachel Osborne (Monash University)H-Index: 1
Last. Judith Lynne Charlton (Monash University)H-Index: 29
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Abstract Naturalistic driving research shows that drivers spend vast amounts of time engaging in secondary, non-driving tasks. Laboratory and simulation studies have demonstrated that, when engaging in a secondary task, drivers adopt strategies to interrupt, delay and resume the secondary task in order to manage their workload and risk. However, there is very little knowledge of the time-sharing strategies that drivers adopt for interweaving their attention across multiple tasks in real-world dr...
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#1Amanda N. Stephens (Monash University, Clayton campus)H-Index: 17
#2Steve O׳Hern (Monash University, Clayton campus)H-Index: 4
Last. Sjaan Koppel (Monash University, Clayton campus)H-Index: 22
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Abstract Anger is a common behaviour exhibited by road users when one’s goals are perceived to have been blocked by another. Recent research has demonstrated that, generally, cyclists tend to deal with anger in constructive ways. However, when anger does manifest, it can result in behaviours that increase their crash risk. Amongst motor vehicle drivers, mindfulness levels have been associated with less anger and appear to mediate anger and associated aggression. The current study sought to under...
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#1Duy Q. Nguyen-Phuoc (Ton Duc Thang University)H-Index: 3
#2Oscar Oviedo-Trespalacios (QUT: Queensland University of Technology)H-Index: 11
Last. Teron NguyenH-Index: 1
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Abstract Mobile phone use while driving presents significant risks, potentially leading to injury or death through distracted driving. Using a case study of Vietnam, this research aimed to understand the effect of problematic mobile phone use (also known as mobile phone addiction or compulsive mobile phone use), attitudes and beliefs, and perceived risk on the frequency of mobile phone use among motorcyclists and car drivers. A self-administered questionnaire was distributed to motorcyclists (n1...
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Abstract Cell phone usage, especially texting while driving is common among drivers globally. Various experimental studies indicate that drivers compensate for the increased demand by reducing speed. However, naturalistic driving data analyses reveal only small changes in speed. For example, in an analysis of the SHRP 2 naturalistic driving data, only a small speed adjustment was identified when texting while driving on a free-flow interstate (Schneidereit et al., 2017). The present study’s obje...
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#1Danni Lu (VT: Virginia Tech)
#2Feng Guo (VT: Virginia Tech)H-Index: 20
Last. Fan Li (Duke University)
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Abstract Introduction/objective This paper evaluates the causal effects of cellphone distraction on traffic crashes using propensity score weighting approaches and naturalistic driving study (NDS) data. Methods We adopt three propensity score weighting approaches to estimate the causal odds ratio (OR) of cellphone use on three different event-populations, including average treatment effect (ATE) on the whole population, average treatment effect on the treated population (ATT), and average treatm...
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#1Shuli Zou (NCU: Nanchang University)
#2Taorong Qiu (NCU: Nanchang University)
Last. Chao Liu (NCU: Nanchang University)
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Abstract Background Fatigue is one of the important factors in traffic accidents. Hence, it is necessary to devise methods to detect the fatigue and apply practical fatigue detection solutions for drivers. New Method This paper presents a method based on the empirical mode decomposition(EMD) of multi-scale entropy on the recorded forehead Electroencephalogram(EEG) signals. These EEG signals are decomposed to extract intrinsic mode functions(IMFs) by using the EMD technique. Then, the IMFs compon...
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#1Tibor Petzoldt (TUD: Dresden University of Technology)H-Index: 9
Abstract Although texting (or, more broadly, visual-manual interaction with a mobile phone) while driving is widely known to compromise road safety, findings from observational studies as well as surveys indicate that this form of driver distraction is more prevalent than ever, and will not disappear anytime soon. Naturally, this results in texting related crashes, which, as undesirable as they are, also constitute an opportunity for behavioural change on behalf of the driver. As the psychology ...
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#1Oscar Oviedo-Trespalacios (QUT: Queensland University of Technology)H-Index: 11
#2Amir Pooyan Afghari (QUT: Queensland University of Technology)H-Index: 3
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Abstract Mobile phone distracted drivers have been reported to initiate risk-compensating behaviour depending on a multitude of factors such as roadway environment and traffic characteristics, personal demographics and psychological attributes, and mobile phone task characteristics. However, the complexities of drivers’ decisions in engaging in such behaviour are not well known. This study aims to fill this gap by developing a comprehensive multivariate ordered model in Bayesian framework for ri...
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#1Zachary Howard (University of Newcastle)H-Index: 1
#2Nathan J. Evans (UvA: University of Amsterdam)H-Index: 8
Last. Ami Eidels (University of Newcastle)H-Index: 11
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: With the advancement of technologies like in-car navigation and smartphones, concerns around how cognitive functioning is influenced by "workload" are increasingly prevalent. Research shows that spreading effort across multiple tasks can impair cognitive abilities through an overuse of resources, and that similar overload effects arise in difficult single-task paradigms. We developed a novel lab-based extension of the Detection Response Task, which measures workload, and paired it with a Multi...
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