Identifying effects of driving and secondary task demands, passenger presence, and driver characteristics on driving errors and traffic violations – Using naturalistic driving data segments preceding both safety critical events and matched baselines
暂无分享,去创建一个
[1] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[2] Maria Staubach,et al. Factors correlated with traffic accidents as a basis for evaluating Advanced Driver Assistance Systems. , 2009, Accident; analysis and prevention.
[3] Per Ole Wanvik,et al. A new method for assessing the risk of accident associated with darkness. , 2009, Accident; analysis and prevention.
[4] Josef F. Krems,et al. Effects of driving anger on driver behavior – Results from naturalistic driving data ☆ , 2017 .
[5] R. S. Lynch,et al. The driving anger expression inventory: a measure of how people express their anger on the road. , 2002, Behaviour research and therapy.
[6] Richard Rowe,et al. Measuring errors and violations on the road: a bifactor modeling approach to the Driver Behavior Questionnaire. , 2015, Accident; analysis and prevention.
[7] John Sibert,et al. AD Model Builder: using automatic differentiation for statistical inference of highly parameterized complex nonlinear models , 2012, Optim. Methods Softw..
[8] Tom Brijs,et al. Investigating risky, distracting, and protective peer passenger effects in a dual process framework. , 2016, Accident; analysis and prevention.
[9] Kristie L. Young,et al. At the cross-roads: an on-road examination of driving errors at intersections. , 2013, Accident; analysis and prevention.
[10] Siegfried Rothe,et al. Can talking on the phone keep the driver awake?: results of a field-study using telephoning as a countermeasure against fatigue while driving , 2011 .
[11] David L. Strayer,et al. Measuring Cognitive Distraction in the Automobile , 2013 .
[12] O Carsten,et al. Protective or Not , 2015 .
[13] David L. Strayer,et al. Measuring Cognitive Distraction in the Automobile II: Assessing In-Vehicle Voice-Based InteractiveTechnologies , 2014 .
[14] Josef F. Krems,et al. Identifying the main factors contributing to driving errors and traffic violations - results from naturalistic driving data , 2017 .
[15] T. Dingus,et al. Distracted driving and risk of road crashes among novice and experienced drivers. , 2014, The New England journal of medicine.
[16] K. Govender,et al. The influence of anger, impulsivity, sensation seeking and driver attitudes on risky driving behaviour among post-graduate university students in Durban, South Africa. , 2013, Accident; analysis and prevention.
[17] Jeff K Caird,et al. Safety-critical event risk associated with cell phone tasks as measured in naturalistic driving studies: A systematic review and meta-analysis. , 2016, Accident; analysis and prevention.
[18] R. Iman,et al. Rank Transformations as a Bridge between Parametric and Nonparametric Statistics , 1981 .
[19] Kenneth L Campbell. The SHRP 2 Naturalistic Driving Study: Addressing Driver Performance and Behavior in Traffic Safety , 2012 .
[20] N. Jewell,et al. To GEE or Not to GEE: Comparing Population Average and Mixed Models for Estimating the Associations Between Neighborhood Risk Factors and Health , 2010, Epidemiology.
[21] Tova Rosenbloom,et al. Tendency to commit traffic violations and presence of passengers in the car , 2016 .
[22] Christopher D. Wickens,et al. Examining the Impact of Cell Phone Conversations on Driving Using Meta-Analytic Techniques , 2006, Hum. Factors.
[23] S Stradling,et al. Errors and violations on the roads: a real distinction? , 1990, Ergonomics.
[24] Dennis R Durbin,et al. Special considerations in distracted driving with teens. , 2014, Annals of advances in automotive medicine. Association for the Advancement of Automotive Medicine. Annual Scientific Conference.
[25] Yaobin Chen,et al. Studying the Effects of Driver Distraction and Traffic Density on the Probability of Crash and Near-Crash Events in Naturalistic Driving Environment , 2013, IEEE Transactions on Intelligent Transportation Systems.
[26] Thomas A. Dingus,et al. The Impact of Driver Inattention on Near-Crash/Crash Risk: An Analysis Using the 100-Car Naturalistic Driving Study Data , 2006 .
[27] Mollie E. Brooks,et al. Generalized linear mixed models: a practical guide for ecology and evolution. , 2009, Trends in ecology & evolution.
[28] Tingru Zhang,et al. Dimensions of driving anger and their relationships with aberrant driving. , 2015, Accident; analysis and prevention.
[29] Miguel A. Perez,et al. The effects of age on crash risk associated with driver distraction. , 2016, International journal of epidemiology.
[30] Marco Dozza,et al. Analysis of Naturalistic Driving Study Data: Safer Glances, Driver Inattention, and Crash Risk , 2014 .
[31] H. Summala,et al. Risky driving and recorded driving offences: a 24-year follow-up study. , 2014, Accident; analysis and prevention.
[32] Mark Vollrath,et al. How the presence of passengers influences the risk of a collision with another vehicle. , 2002, Accident; analysis and prevention.
[33] E. Dahlen,et al. The Big Five factors, sensation seeking, and driving anger in the prediction of unsafe driving☆ , 2006 .
[34] Lin Qiu,et al. Effects of Adverse Weather on Traffic Crashes , 2008 .
[36] Julie McClafferty,et al. Development of a protocol to classify drivers' emotional conversation , 2017 .
[37] J.C.F. de Winter,et al. The Driver Behaviour Questionnaire as a predictor of accidents: a meta-analysis. , 2010, Journal of safety research.
[38] C. F. Bond,et al. Social facilitation: a meta-analysis of 241 studies. , 1983, Psychological bulletin.
[39] Daniel V. McGehee,et al. Using Naturalistic Driving Data toAssess the Prevalence of EnvironmentalFactors and Driver Behaviors in TeenDriver Crashes , 2015 .
[40] Feng Guo,et al. Driver crash risk factors and prevalence evaluation using naturalistic driving data , 2016, Proceedings of the National Academy of Sciences.
[41] S. West,et al. The Analysis of Count Data: A Gentle Introduction to Poisson Regression and Its Alternatives , 2009, Journal of personality assessment.