The Impact of Distraction Mitigation Strategies on Driving Performance

Donmez, Birsen; Boyle, Linda Ng; Lee, John D.

doi:10.1518/001872006779166415

Cited by 105 publications

(54 citation statements)

References 36 publications

(44 reference statements)

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“…SE is based on a Taylor series expansion of steering over time, has been used to evaluate workload changes due to alcohol (Rakauskas and Ward, 2005) and driver distraction (Donmez et al, 2006), and may provide additional evidence on changes in driver workload and vigilance across changing driving environments.…”

Section: Experimental Designmentioning

confidence: 99%

Driver performance in the moments surrounding a microsleep

Boyle

Tippin

Paul

et al. 2008

Transportation Research Part F: Traffic Psychology and Behaviou

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133

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This study examined if individuals who are at increased risk for drowsy-driving because of obstructive sleep apnea syndrome (OSAS), have impairments in driving performance in the moments during microsleep episodes as opposed to during periods of wakefulness. Twenty-four licensed drivers diagnosed with OSAS based on standard clinical and polysomnographic criteria, participated in an hour-long drive in a high-fidelity driving simulator with synchronous electroencephalographic (EEG) recordings for identification of microsleeps. The drivers showed significant deterioration in vehicle control during the microsleep episodes compared to driving performance in the absence of microsleeps on equivalent segments of roadway. The degree of performance decrement correlated with microsleep duration, particularly on curved roads. Results indicate that driving performance deteriorates during microsleep episodes. Detecting microsleeps in real-time and identifying how these episodes of transition between wakefulness and sleep impair driver performance is relevant to the design and implementation of countermeasures such as drowsy driver detection and alerting systems that use EEG technology.

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Section: Experimental Designmentioning

confidence: 99%

Driver performance in the moments surrounding a microsleep

Boyle

Tippin

Paul

et al. 2008

Transportation Research Part F: Traffic Psychology and Behaviou

Self Cite

133

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“…A similar system that provided time headway through a visual display and an auditory alert reduced the amount of time drivers spent at headways below 1 s (Fairclough, May, & Carter, 1997). Yet another system that alerted drivers to excessive glances away from the road led drivers to reduce this behavior (Donmez, Boyle, & Lee, 2006). Similar systems could alert young drivers to other types of roadway hazards, such as crosswalks and sharp curves.…”

Section: A U T H O R ' S P E R S O N a L C O P Ymentioning

confidence: 99%

Technology and teen drivers

Lee

2007

Journal of Safety Research

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195

103

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The rapid evolution of computing, communication, and sensor technology is likely to affect young drivers more than others. The distraction potential of infotainment technology stresses the same vulnerabilities that already lead young drivers to crash more frequently than other drivers. Cell phones, text messaging, MP3 players, and other nomadic devices all present a threat because young drivers may lack the spare attentional capacity for vehicle control and the ability to anticipate and manage hazards. Moreover, young drivers are likely to be the first and most aggressive users of new technology. Fortunately, emerging technology can also support safe driving. Electronic stability control, collision avoidance systems, intelligent speed adaptation, and vehicle tracking systems can all help mitigate the threats to young drivers. However, technology alone is unlikely to make young drivers safer. One promising approach to tailoring technology to teen drivers is to extend proven methods for enhancing young driver safety. The success of graduated drivers license programs (GDL) and the impressive safety benefit of supervised driving suggest ways of tailoring technology to the needs of young drivers. To anticipate the effects of technology on teen driving it may be useful to draw an analogy between the effects of passengers and the effects of technology. Technology can act as a teen passenger and undermine safety or it can act as an adult passenger and enhance safety. Impact on industry: Rapidly developing technology may have particularly large effects on teen drivers. To maximize the positive effects and minimize the negative effects will require a broad range of industries to work together. Ideally, vehicle manufacturers would work with infotainment providers, insurance companies, and policy makers to craft new technologies so that they accommodate the needs of young drivers. Without such collaboration young drivers will face even greater challenges to their safety as new technologies emerge. © 2007 National Safety Council and Elsevier Ltd. All rights reserved.Keywords: Distraction; young drivers; novice drivers; collision avoidance; graduated licensing Emerging technology represents a mixed blessing for drivers, particularly young drivers. Young drivers are overrepresented in car crashes and emerging technology has the potential to both exacerbate and mitigate that tendency. New infotainment technologies, such as cell phones, text messaging, and MP3 players have the potential to aggravate the factors that place young drivers at risk in the first place. At the same time, emerging technologies that support the driver, such as electronic stability control, collision warning systems, and intelligent speed adaptation can enhance driving safety and may even mitigate the risks posed by infotainment distractions. Young drivers may benefit most from the new safety systems, but they are also most vulnerable to poorly implemented technology McKnight & McKnight, 1993). Properly tuned to the needs of young drivers, technol...

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“…The connection between driver distraction and eye movements is often sought in the driver's glance behaviour (Donmez, Ng Boyle, & Lee, 2006), but glances are sensitive to task complexity (Lansdown & Fowkes, 1998) and visual demand (Green, 1999), and should always be considered in relation to the driving situation (e.g. speed and environment).…”

Section: Introductionmentioning

confidence: 99%

Considerations When Calculating Percent Road Centre From Eye Movement Data in Driver Distraction Monitoring

Ahlström

Kircher

2009

Proceedings of the 5th International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design : Dr

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Summary: Percent road centre (PRC) is a performance indicator which is sensitive to driver distraction. The original definition of PRC is based on fixation data extracted from eye movement recordings, but it has also been suggested that PRC can be determined directly from the gaze data without segmenting it into saccades and fixations. The primary aim of this paper is to investigate if this is the case. Naturalistic driving data from a small scale field operational test comprising seven vehicles was used in the evaluation. It was found that PRC time traces based on gaze data and fixation data, respectively, were highly similar (correlation coefficient=0.95, average wavelet semblance=0.84) except for an absolute amplitude difference of about 8%. This indicates that the two approaches can be used interchangeably and that the processing step of segmenting gaze data into saccades and fixations can be left out. In addition to this finding, design issues related to the calculation of PRC are investigated. Especially, the impact of gaze cases pointing towards the intersection of the road centre area and the centre rear mirror were investigated. Results lead to conclude that gazes and fixations on the centre rear mirror should be removed from the PRC calculations, as they may negatively influence the correctness of the performance indicator.

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The Impact of Distraction Mitigation Strategies on Driving Performance

Abstract: These strategies can be incorporated into existing in-vehicle systems, thus mitigating the effects of distraction and improving driver performance.

Cited by 105 publications

References 36 publications

Driver performance in the moments surrounding a microsleep

Driver performance in the moments surrounding a microsleep

Technology and teen drivers

Considerations When Calculating Percent Road Centre From Eye Movement Data in Driver Distraction Monitoring

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