Modeling Vehicle Collision Angle in Traffic Crashes Based on Three-Dimensional Laser Scanning Data.

Area of Science:

• Engineering
• Forensic Science
• Mechanics

Background:

• Accurate vehicle collision angle estimation is vital for traffic accident analysis.
• Limited physical evidence and monitoring pose challenges in determining collision angles.
• Existing methods struggle with accuracy, especially in low-evidence scenarios.

Purpose of the Study:

• To establish a mathematical model for estimating vehicle collision angles.
• To develop a reliable method for accident reconstruction using physical evidence.
• To provide a theoretical basis for traffic accident identification and cause analysis.

Main Methods:

• Developed a mathematical relation model based on Hooke's law for particle deformation and force.
• Studied surface reconstruction methods for normal vector solutions.
• Utilized 3D laser scanning data for multi-angle collision experiments and sensitivity analysis.

Main Results:

• The collision angle is determined by a weighted synthesis of the normal vector and deformation at the collision point.
• Validation through experiments confirmed the model's applicability.
• Sensitivity analysis indicated the precision of laser scanning impacts angle determination.

Conclusions:

• The proposed collision angle model accurately estimates angles based on deformation and normal vectors.
• The model serves as a theoretical foundation for traffic accident investigation and analysis.
• It offers a reference for studying impact deformation in elastic materials.