How to quantitatively evaluate safety of driver behavior upon accident? A biomechanical methodology

How to evaluate driver spontaneous reactions in various collision patterns in a quantitative way is one of the most important topics in vehicle safety. Firstly, this paper constructs representative numerical crash scenarios described by impact velocity, impact angle and contact position based on finite element (FE) computation platform. Secondly, a driver cabin model is extracted and described in the well validated multi-rigid body (MB) model to compute the value of weighted injury criterion to quantitatively assess drivers’ overall injury under certain circumstances. Furthermore, based on the coupling of FE and MB, parametric studies on various crash scenarios are conducted. It is revealed that the WIC (Weighted Injury Criteria) value variation law under high impact velocities is quite distinct comparing with the one in low impact velocities. In addition, the coupling effect can be elucidated by the fact that the difference of WIC value among three impact velocities under smaller impact angles tends to be distinctly higher than that under larger impact angles. Meanwhile, high impact velocity also increases the sensitivity of WIC under different collision positions and impact angles. Results may provide a new methodology to quantitatively evaluate driving behaviors and serve as a significant guiding step towards collision avoidance for autonomous driving vehicles.

[1]  Hermann Winner,et al.  Valid representation of a highly dynamic collision avoidance scenario in a driving simulator , 2015 .

[2]  Eirin Olaussen Ryeng,et al.  Chosen risk level during car-following in adverse weather conditions. , 2016, Accident; analysis and prevention.

[3]  Jennifer Ference,et al.  A hazard perception test for novice drivers. , 2011, Accident; analysis and prevention.

[4]  Guohui Zhang,et al.  Exploratory multinomial logit model–based driver injury severity analyses for teenage and adult drivers in intersection-related crashes , 2016, Traffic injury prevention.

[5]  Tomasz Stańczyk,et al.  Driver model for the analysis of pre-accident situations , 2009 .

[6]  Yi-Shih Chung,et al.  Seemingly irrational driving behavior model: The effect of habit strength and anticipated affective reactions. , 2015, Accident; analysis and prevention.

[7]  Tomasz Stańczyk,et al.  Driver reaction time to lateral entering pedestrian in a simulated crash traffic situation , 2014 .

[8]  Caroline Deck,et al.  Head injury prediction capability of the HIC, HIP, SIMon and ULP criteria. , 2008, Accident; analysis and prevention.

[9]  Lana M Trick,et al.  Driving in fog: the effects of driving experience and visibility on speed compensation and hazard avoidance. , 2012, Accident; analysis and prevention.

[10]  Hans Norin,et al.  A methodology for improving structural robustness in frontal car-to-car crash scenarios , 2013 .

[11]  A. Charles,et al.  Personality traits and executive functions related to on-road driving performance among older drivers. , 2011, Accident; analysis and prevention.

[12]  Fridulv Sagberg,et al.  Fatal intersection crashes in Norway: patterns in contributing factors and data collection challenges. , 2012, Accident; analysis and prevention.

[13]  Marcílio Alves,et al.  Performance of polymeric reinforcements in vehicle structures submitted to frontal impact , 2012 .

[14]  Ming Chen,et al.  Drivers’ rear end collision avoidance behaviors under different levels of situational urgency , 2016 .

[15]  Pascal Drazetic,et al.  Determination of pre-impact occupant postures and analysis of consequences on injury outcome--part II: biomechanical study. , 2011, Accident; analysis and prevention.

[16]  Alison Blane,et al.  Age and inconsistency in driving performance. , 2012, Accident; analysis and prevention.

[17]  Jonas Sjöberg,et al.  Model-Based Threat Assessment for Avoiding Arbitrary Vehicle Collisions , 2010, IEEE Transactions on Intelligent Transportation Systems.

[18]  F. Mannering,et al.  The effects of road-surface conditions, age, and gender on driver-injury severities. , 2011, Accident; analysis and prevention.

[19]  Kristian Kroschel,et al.  A Multilevel Collision Mitigation Approach—Its Situation Assessment, Decision Making, and Performance Tradeoffs , 2006, IEEE Transactions on Intelligent Transportation Systems.

[20]  Fred L Mannering,et al.  Highway accident severities and the mixed logit model: an exploratory empirical analysis. , 2008, Accident; analysis and prevention.

[21]  Stefanie Leung,et al.  Gap acceptance and risk-taking by young and mature drivers, both sober and alcohol-intoxicated, in a simulated driving task. , 2005, Accident; analysis and prevention.

[22]  Pierre-Jean Arnoux,et al.  Posture and muscular behaviour in emergency braking: an experimental approach. , 2010, Accident; analysis and prevention.

[23]  Paul M. Salmon,et al.  Compatible cognition amongst road users: The compatibility of driver, motorcyclist, and cyclist situation awareness , 2013 .

[24]  Hao Ge,et al.  The Necessity of Evaluating Child Neck Injury in Frontal Collision of School Bus for Transportation Safety , 2014 .

[25]  Charles Mock,et al.  Femur fractures in relatively low speed frontal crashes: the possible role of muscle forces. , 2002, Accident; analysis and prevention.

[26]  Yuting Zhang,et al.  Changes in Drivers’ Visual Performance during the Collision Avoidance Process as a Function of Different Field of Views at Intersections , 2016, PloS one.

[27]  Xingqiao Deng,et al.  Finite element analysis of occupant head injuries: parametric effects of the side curtain airbag deployment interaction with a dummy head in a side impact crash. , 2013, Accident; analysis and prevention.

[28]  Koji Mizuno,et al.  Crash Pulse Optimization for Occupant Protection at Various Impact Velocities , 2015, Traffic injury prevention.

[29]  John D Lee,et al.  Combining cognitive and visual distraction: less than the sum of its parts. , 2010, Accident; analysis and prevention.

[30]  Johnathon P Ehsani,et al.  Conscientious personality and young drivers' crash risk. , 2015, Journal of safety research.

[31]  B. A. Matthews,et al.  Characterological, situational, and behavioral risk factors for motor vehicle accidents: a prospective examination. , 2000, Accident; analysis and prevention.

[32]  Lucie Laflamme,et al.  How do car crashes happen among young drivers aged 18-20 years? Typical circumstances in relation to license status, alcohol impairment and injury consequences. , 2009, Accident; analysis and prevention.

[33]  Klaus C. J. Dietmayer,et al.  Situation Assessment of an Autonomous Emergency Brake for Arbitrary Vehicle-to-Vehicle Collision Scenarios , 2009, IEEE Transactions on Intelligent Transportation Systems.

[34]  Frederic Robache,et al.  Determination of pre-impact occupant postures and analysis of consequences on injury outcome. Part I: a driving simulator study. , 2011, Accident; analysis and prevention.

[35]  Qiang Li,et al.  A two-stage multi-objective optimisation of vehicle crashworthiness under frontal impact , 2008 .

[36]  Kazuya Takeda,et al.  A Study of Driver Behavior Under Potential Threats in Vehicle Traffic , 2009, IEEE Transactions on Intelligent Transportation Systems.

[37]  Gustav Markkula,et al.  A farewell to brake reaction times? Kinematics-dependent brake response in naturalistic rear-end emergencies. , 2016, Accident; analysis and prevention.

[38]  Tian Hongqi,et al.  Influencing Factors and Sensitivity Analysis of Occupant Impact Injury in Passenger Compartment , 2013, Traffic injury prevention.

[39]  E Vingilis,et al.  Alcohol and drug use among motor vehicle collision victims admitted to a regional trauma unit: demographic, injury, and crash characteristics. , 1993, Accident; analysis and prevention.

[40]  Evelyn Vingilis,et al.  Alcohol and driving factors in collision risk. , 2010, Accident Analysis and Prevention.

[41]  Neville A Stanton,et al.  Using the Event Analysis of Systemic Teamwork (EAST) to explore conflicts between different road user groups when making right hand turns at urban intersections , 2014, Ergonomics.

[42]  Guizhen Yu,et al.  Simulative investigation on head injuries of electric self-balancing scooter riders subject to ground impact. , 2016, Accident; analysis and prevention.

[43]  Xuedong Yan,et al.  Exploring precrash maneuvers using classification trees and random forests. , 2009, Accident; analysis and prevention.