Critical Reasons for Crashes Investigated in the National Motor Vehicle Crash Causation Survey

By Santokh Singh. 2015

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Citations in the corpus

A Survey of Autonomous Driving: Common Practices and Emerging Technologies (2019, background): “ACCORDING to a recent technical report by the National Highway Traffic Safety Administration (NHTSA), 94% of road accidents are caused by human errors [1].”
A Survey of Motion Planning and Control Techniques for Self-Driving Urban Vehicles (2016, background): “Of these, an estimated 94% are attributed to driver error with 31% involving legally intoxicated drivers, and 10% from distracted drivers [2].”
Governing autonomous vehicles: emerging responses for safety, liability, privacy, cybersecurity, and industry risks (2018, background): “At least 90% of vehicle accidents are estimated to be the result of human error (NHTSA, 2015; Smith, 2013; Sun et al., 2016).”
Research Advances and Challenges of Autonomous and Connected Ground Vehicles (2019, background): “error factors such as drowsiness, distractions, or improper decisions [2].”
Deep Learning Sensor Fusion for Autonomous Vehicle Perception and Localization: A Review (2020, background): “Department of Transportation, 94% of vehicle crashes occur due to driver behavior [1].”
A Potential Field-Based Model Predictive Path-Planning Controller for Autonomous Road Vehicles (2017, background): “It moves laterally from the center of Lane 2 towards the center of Lane 1 with a constant lateral velocity in the time interval of t = [ 1 6 ] s.”
Driver crash risk factors and prevalence evaluation using naturalistic driving data (2016, background): “D recent years, the percentage of crashes involving some type of driver error or impairment before the crash was thought to be as high as 94% (1).”
A Survey of Deep Learning Applications to Autonomous Vehicle Control (2019, unknown): “2% are caused by vehicle failures [8].”
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks (2018, background): “In particular, car accidents amounted to more than 5% of deaths in the US in 2015 [7], with the human factor to blame in the vast majority of the crashes [8].”
Learning a deep neural net policy for end-to-end control of autonomous vehicles (2017, background): “More than 90% of all car accidents are caused by human errors and only 2% by vehicle failures [1].”
Evaluating the safety impact of connected and autonomous vehicles on motorways. (2019, background): “The concept of CAVs has generated high expectations 4 regarding safety performance of future road transport systems, as 94% of crashes involve 5 human error as a contributing factor (Singh, 2015).”