The 100-Car Naturalistic Driving Study Phase II - Results of the 100-Car Field Experiment

By Dot Hs. 2006

1,117 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/0d439850537dec15c70eb3fabe48ff50274f5672

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Citations in the corpus

Driver-Activity Recognition in the Context of Conditionally Autonomous Driving (2015, background): “It is assumed that, based on the increasing risk of near and actual crashes in non-autonomous driving situations when performing secondary tasks [5], that take-over quality degrades when performing secondary tasks, especially for tasks with increased complexity.”
Driver crash risk factors and prevalence evaluation using naturalistic driving data (2016, background): “, cameras, sensors, radar) that automatically and continuously collects driving parameters—including speed, time to collision, global positioning system (GPS) location, acceleration, and eye glance behavior—from key-on to key-off (2, 5).”
Traffic Signal Control with Connected Vehicles (2013, background): “5 g for determining a potential incident in naturalistic driving studies [100].”
The link between fatigue and safety. (2011, background): “An example of such a study design is the large scale prospective naturalistic driving study conducted in the US (Dingus et al., 2006), that is currently planned to be extended.”
Driver Behavior Profiling Using Smartphones: A Low-Cost Platform for Driver Monitoring (2015, background): “Both weather condition and time of day were considered since their impact on fatal accident rates has been proven in different studies [23] [15].”
Online Driver Distraction Detection Using Long Short-Term Memory (2011, background): “Causes for driver inattention are, for example, the use of wireless devices or passenger-related distractions [3].”
An Analysis of Driver Inattention Using a Case-Crossover Approach On 100-Car Data: Final Report (2010, methodology): “This result provides further support for the earlier finding by Dingus et al. (2006) where 93 percent of all rear-end collisions involved the driver looking away from the forward roadway at least once in the 6 s prior to the collision.”
Ergonomics Society of the Human Factors and Human Factors: The Journal (2014, unknown): “(2009), which analyzed lane-change crashes and near-crashes recorded during the 100-Car Naturalistic Driving Study (Dingus et al., 2006).”