Comparing Real-World Behaviors of Drivers With High versus Low Rates of Crashes and Near-Crashes

Klauer, Sheila G.; Dingus, Thomas A.; Neale, Vicki L.; Sudweeks, Jeremy; Ramsey, David

doi:10.1037/e733112011-001

Cited by 50 publications

(48 citation statements)

References 14 publications

(19 reference statements)

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“…However, driving behavior assessment has been associated to two main dynamic parameters that, among the others, have been proposed in scientific literature as the most significant for a quantitative evaluation of unsafe or aggressive driving style; these parameters are the longitudinal and the lateral accelerations and decelerations (Shaout & Bodenmiller, 2011;Klauer et al, 2009;Johnson et al, 2011;Paefgen et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Driving Behavior and Traffic Safety: An Acceleration-Based Safety Evaluation Procedure for Smartphones

Vaiana¹,

Iuele²,

Astarita³

et al. 2014

MAS

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Traffic safety and energy efficiency of vehicles are strictly related to driver's behavior. The scientific literature has investigated on some specific dynamic parameters that, among the others, can be used as a measure of unsafe or aggressive driving style such as longitudinal and lateral acceleration of vehicle. Moreover, the use of modern mobile devices (smartphones and tablets), and their internal sensors (GPS receivers, three-axes accelerometers), allows road users to receive real time information and feedback that can be useful to increase awareness of drivers and promote safety. This paper focuses on the development of a prototype mobile application that can evaluate the grade of safety that drivers are keeping on the road by measuring of accelerations (longitudinal and lateral) and warning for users when it can be convenient to correct their driving style. The aggressiveness is evaluated by plotting vehicle's acceleration on a g-g diagram specially studied and designed, where horizontal and lateral acceleration is displayed inside areas of "Good Driving Style". Several experimental tests were carried out with different drivers and cars in order to estimate the system accuracy and the usability of the application. This work is part of the wider research project M2M, Mobile to Mobility: Information and communication technology systems for road traffic safety (PON National Operational Program for Research and Competitiveness 2007-2013) which is based on the use of mobile sensor computing systems for giving real-time information in order to reduce risks and to make the transportation system more safe and comfortable.

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Section: Introductionmentioning

confidence: 99%

Driving Behavior and Traffic Safety: An Acceleration-Based Safety Evaluation Procedure for Smartphones

Vaiana¹,

Iuele²,

Astarita³

et al. 2014

MAS

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“…Data were stored in a computer mounted in the trunk of the vehicle and downloaded periodically. Major findings relevant to the youngest drivers included the following: (1) the crash rate was highest for the 18-20-year-old drivers; (2) short headway (time to collision < 2 s) was involved in most rear-end collisions; (3) inattention was observed in most crashes and near crashes; (4) the youngest drivers had the highest rate of aggressive driving behavior, prevalence of secondary task engagement, and distraction-related crashes and near-crashes (CNC) involvement [10,14]. The study demonstrated the unique advantage of ND methods for assessing crash risk due to distracting secondary task engagement by comparing the prevalence of secondary tasks observed in the moments prior to a crash or near-crash (by coders in a laboratory) with the prevalence of those tasks similarly observed during randomly selected baseline road segments.…”

Section: Car Studymentioning

confidence: 99%

“…Moreover, relative to older drivers, novices are easily distracted from the driving task [9]. However, many questions remain about the nature of young driver risk, the relative importance of contributing factors, and individual variability in risk [10].…”

Section: Introductionmentioning

confidence: 99%

Teen Driving Risk and Prevention: Naturalistic Driving Research Contributions and Challenges

Simons‐Morton

Ehsani

Gershon

et al. 2017

Safety

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Naturalistic driving (ND) methods may be particularly useful for research on young driver crash risk. Novices are not safe drivers initially, but tend to improve rapidly, although the pace of learning is highly variable. However, knowledge is lacking about how best to reduce the learning curve and the variability in the development of safe driving judgment. A great deal has been learned from recent naturalistic driving (ND) studies that have included young drivers, providing objective information on the nature of crash risk and the factors that contribute to safety critical events. This research indicates that most learners obtain at least the amount of practice driving recommended and develop important driving skills. Unfortunately, most learners are not exposed during training to more complex driving situations and the instruction provided by supervising parents is mostly reactive and may not fully prepare teens for independent driving. While supervised practice driving is quite safe, crash rates are high during the first six months or so of independent driving then decline rapidly, but remain high for years relative to experienced drivers. Contributing factors to crash risk include exposure, inexperience, elevated gravitational-force event rates, greater willingness to engage in secondary tasks while driving, and social influence from peer passengers. The findings indicate the need and possible objectives for improving practice driving instruction and developing innovative prevention approaches for the first year of independent driving.

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“…The final objective of most NDS is to identify driver and driving behaviors and characteristics that can be correlated to crashes or near-crashes [2], [4], [11]- [13]. In addition to NDS, works such as [14]- [17] also determine behaviors such as aggressive driving, tactical driver behavior etc.…”

Section: Related Workmentioning

confidence: 99%

“…A survey of NDS and similar studies shows that lanes and associated events are one of the critical informations in crashrelated studies [2], [4], [11]. Lane change events [11], lane type information [4], vehicle localization using lanes [18] etc.…”

Section: Related Workmentioning

confidence: 99%

Drive analysis using lane semantics for data reduction in naturalistic driving studies

Satzoda

Gunaratne²,

Trivedi

2014

2014 IEEE Intelligent Vehicles Symposium Proceedings

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Abstract-Naturalistic driving studies (NDS) provide critical information about driving behaviors and characteristics that could lead to crashes and near-crashes. Such studies involve analysis of large volumes of data from multiple sensors and detection and extraction of critical events is an important step in NDS. This paper introduces techniques that analyze the visual data complemented with other sensors in the vehicle to determine critical events related to lane drifts, road departures and road delineations. To the best knowledge of the authors, this is the first work that detects and extract events listed in visual reference dictionary of NDS studies like Strategic Highway Research Program 2 (SHRP2). Detailed evaluations with real-world NDS data is presented.

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Comparing Real-World Behaviors of Drivers With High versus Low Rates of Crashes and Near-Crashes

Cited by 50 publications

References 14 publications

Driving Behavior and Traffic Safety: An Acceleration-Based Safety Evaluation Procedure for Smartphones

Driving Behavior and Traffic Safety: An Acceleration-Based Safety Evaluation Procedure for Smartphones

Teen Driving Risk and Prevention: Naturalistic Driving Research Contributions and Challenges

Drive analysis using lane semantics for data reduction in naturalistic driving studies

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