Evaluation of Frontal Impact Restraint System in Integrated Safety Scenario Using Human Body Model with PID Controlled Active Muscles

Automated Emergency Braking (AEB) systems have been on the market for the past decade, and are growing rapidly in use. Real‐world accident analyses indicate the value of studying countermeasures in pre‐impact braking phases. An AEB system can modify occupant pre‐crash positioning, which has not yet been evaluated in rating and legal tests. The objective of this study was to evaluate frontal restraint systems in integrated safety scenarios: activation of diverse pre‐impact AEB systems, followed by a frontal impact. A validated Active Human Body Model (AHBM), capable of mimicking human posture maintenance and reflexive responses under pre‐impact braking, was used. The human body model includes active muscles controlled by a proportional integral derivative (PID) control system. Using the validated AHBM, frontal restraint system performances in combined pre‐crash braking, and crash scenarios, were evaluated, including comparisons with conventional methods, i.e. the HBM without active muscles, and the THOR dummy. Effects of varying pre‐pretensioner (PPT) forces were also evaluated. It was found that different braking durations and levels led to corresponding occupant positions. The PPT applied pre‐crash maintained the occupant’s initial position to some extent, resulting in a decrease in thoracic injuries. Using an AHBM appears to be a rational approach for the evaluation of integrated safety performance.

[1]  Kristofer D. Kusano,et al.  Potential Occupant Injury Reduction in Pre-Crash System Equipped Vehicles in the Striking Vehicle of Rear-end Crashes. , 2010, Annals of advances in automotive medicine. Association for the Advancement of Automotive Medicine. Annual Scientific Conference.

[2]  Karin Brolin,et al.  A Human Body Model With Active Muscles for Simulation of Pretensioned Restraints in Autonomous Braking Interventions , 2015, Traffic injury prevention.

[3]  Wolfgang Sinz,et al.  Influences of pre-crash braking induced dummy - forward displacements on dummy behaviour during EuroNCAP frontal crashtest. , 2014, Accident; analysis and prevention.

[4]  Susumu Ejima,et al.  Influence of the Driver Conditions on the Injury Outcome in Front Impact Collisions , 2011 .

[5]  Susumu Ejima,et al.  Effects of pre-impact swerving/steering on physical motion of the volunteer in the low-speed side-impact sled test , 2012 .

[6]  Karl-Heinz Baumann,et al.  The Efficiency of PRE-SAFE®Systems in Pre-braked FrontalCollision Situations , 2011 .

[7]  Michael L Madigan,et al.  Occupant kinematics in low-speed frontal sled tests: Human volunteers, Hybrid III ATD, and PMHS. , 2012, Accident; analysis and prevention.

[8]  Wolfgang Sinz,et al.  Factors influencing occupant kinematics during braking and lane change maneuvers in a passenger vehicle , 2014 .

[9]  Krystoffer Mroz,et al.  Validation of a Human Body Model for Frontal Crash and its Use for Chest Injury Prediction , 2008 .

[10]  Dipan Bose,et al.  INFLUENCE OF PRE-COLLISION OCCUPANT PROPERTIES ON THE INJURY RESPONSE DURING FRONTAL COLLISIONS , 2008 .

[11]  Karin Brolin,et al.  Passenger Kinematics and Muscle Responses in Autonomous Braking Events with Standard and Reversible Pre‐tensioned Restraints , 2013 .

[12]  A Lie,et al.  Effectiveness of low speed autonomous emergency braking in real-world rear-end crashes. , 2015, Accident; analysis and prevention.

[13]  Jac Wismans,et al.  The Occupant Response to Autonomous Braking: A Modeling Approach That Accounts for Active Musculature , 2012, Traffic injury prevention.

[14]  Erik Eliasson,et al.  Industrialisation of a Finite Element Active Human Body Model for Vehicle Crash Simulations , 2015 .

[15]  P. E. Hovenga,et al.  Improved Prediction of Hybrid-III Injury Values Using Advanced Multibody Techniques and Objective Rating , 2005 .

[16]  M. Craig,et al.  Development of brain injury criteria (BrIC). , 2013, Stapp car crash journal.

[17]  Riender Happee,et al.  A method to model anticipatory postural control in driver braking events. , 2014, Gait & posture.

[18]  Krystoffer Mroz,et al.  Predicting rib fracture risk with whole-body finite element models: development and preliminary evaluation of a probabilistic analytical framework. , 2012, Annals of advances in automotive medicine. Association for the Advancement of Automotive Medicine. Annual Scientific Conference.