Related Experiment Video
Updated: Jul 24, 2026

07:30
A Test Bed to Examine Helmet Fit and Retention and Biomechanical Measures of Head and Neck Injury in Simulated Impact
Published on: September 21, 2017
9.0K
Design and Validation of an Active Headrest System with Integrated Sensing in Rear-End Crash Scenarios
Alexandru Ionut Radu1, Bogdan Adrian Tolea2, Horia Beles2
1Department of Automotive and Transport, Faculty of Mechanical Engineering, Transilvania University of Brasov, 500036 Brasov, Romania.
Sensors (Basel, Switzerland)
|July 30, 2025
Summary
This study developed an advanced multibody simulation model for rear-end collisions, improving active headrest systems. The validated model accurately predicts occupant kinematics, enhancing automotive safety.
Area of Science:
- Automotive Engineering
- Biomechanics
- Computational Mechanics
Background:
- Rear-end collisions pose significant risks, especially whiplash injuries.
- Accurate simulation of occupant kinematics is vital for advanced automotive safety systems.
- Existing models may not fully capture the dynamics of active safety features.
Purpose of the Study:
- To present an enhanced multibody simulation model for rear-end crash scenarios.
- To incorporate integrated active headrest mechanisms and sensor-based activation logic.
- To validate the model's predictive accuracy for occupant kinematics and head acceleration.
Main Methods:
- Developed an enhanced multibody simulation model using Simscape Multibody.
- Integrated detailed vehicle structures, suspension, restraint systems, and occupant biomechanics.
- Validated the model against controlled experimental crash tests, focusing on contact forces and actuator response.
Main Results:
- Achieved a root mean square error (RMSE) of 4.19 m/s² for head acceleration.
- Obtained a mean absolute percentage error (MAPE) of 0.71% in validation tests.
- Demonstrated accurate reproduction of occupant kinematics and head acceleration profiles.
Conclusions:
- The enhanced multibody model accurately predicts occupant responses in rear-end collisions.
- Integrated sensor-actuator systems are crucial for improving occupant safety.
- The model serves as a flexible platform for developing intelligent vehicle safety technologies.
Related Concept Videos
Elastic Collisions: Introduction
An elastic collision is one that conserves both internal kinetic energy and momentum. Internal kinetic energy is the sum of the kinetic energies of the objects in a system. Truly elastic collisions can only be achieved with subatomic particles, such as electrons striking nuclei. Macroscopic collisions can be very nearly, but not quite, elastic, as some kinetic energy is always converted into other forms of energy such as heat transfer due to friction and sound. An example of a nearly...
Elastic Collisions: Case Study
Elastic collision of a system demands conservation of both momentum and kinetic energy. To solve problems involving one-dimensional elastic collisions between two objects, the equations for conservation of momentum and conservation of internal kinetic energy can be used. For the two objects, the sum of momentum before the collision equals the total momentum after the collision. An elastic collision conserves internal kinetic energy, and so the sum of kinetic energies before the collision equals...
PD Controller: Design
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...

