The Impact of Driver Inattention on Near-Crash/Crash Risk: An Analysis Using the 100-Car Naturalistic Driving Study Data
By S. Klauer, T. Dingus, V. Neale, Jeremy D Sudweeks, David J. Ramsey. 2006
701 citations recorded by the source corpus.
Subfields: Experimental and Cognitive Psychology, Physical Therapy, Sports Therapy and Rehabilitation, Safety, Risk, Reliability and Quality
View Paper: https://www.semanticscholar.org/paper/0aba1c07d700057153748ec60d5e98a182cb4ed8
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In Experimental and Cognitive Psychology
- Michael Arthur Regan
- Kristie L. Young
- Yanchao Dong
- Zhencheng Hu
- Keiichi Uchimura
- Yulan Liang
- Nobuki Murayama
- Christoph Randler
In Physical Therapy, Sports Therapy and Rehabilitation
In Safety, Risk, Reliability and Quality
- Maria Riveiro
- Göran Falkman
- Michael Arthur Regan
- Kristie L. Young
- Staffan Davidsson
- Tove Helldin
- Yulan Liang
Citations in the corpus
- Presenting system uncertainty in automotive UIs for supporting trust calibration in autonomous driving (2013, background): “In addition to the proportion of the total time spent on looking at other things than the road ahead, the number of times drivers looked away for more than 2 seconds were counted, since this is regarded as the limit for how long a driver can look away while maintaining awareness of the situation ahe”
- Driver performance effects of simultaneous visual and cognitive distraction and adaptation behavior (2012, background): “…the behavior of 100 drivers in a naturalistic environment showed that 78% of crashes (n = 100) and 65% of near-crashes (n = 100) involved some form of driver inattention , among which distraction by in-vehicle infotainment systems accounted for approximately 25% of all events (Klauer et al., 2006).”
- Did you see the unicycling clown? Inattentional blindness while walking and talking on a cell phone (2009, background): “Similarly, Klauer et al. (2006) reported that a passenger in the adjacent seat decreased accident rates whereas a cell phone conversation increased accident rates.”
- The link between fatigue and safety. (2011, background): “In the U.S., volunteer rivers drove 100 instrumented vehicles (either their own or a vehile loaned to them by the project) over a period of 12–13 months, ielding 43,000 h of driving data, including video of their faces as ell as of the forward roadway (Klauer et al., 2006a,b).”
- The Effects of Text Messaging on Young Drivers (2009, background): “8 times and that this increased crash risk is significantly greater than that of conversing on a cell phone while driving (Klauer et al., 2006).”
- Driver Distraction in Commercial Vehicle Operations (2009, methodology): “The 100-Car Study gathered a great deal of useful data because of the continuous, naturalistic data-collection method study; however, naturalistic CMV data, rather than light-vehicle data, were used.”
- Driver Inattention Monitoring System for Intelligent Vehicles: A Review (2009, background): “[112] defined the following three categories of secondary tasks: 1) complex tasks; 2) moderate tasks; and 3) simple tasks.”
- An Analysis of Driver Inattention Using a Case-Crossover Approach On 100-Car Data: Final Report (2010, background): “These tasks were also found to have a higher associated risk in Klauer et al. (2006) .”