摘要
为提高学生学习交通事故痕迹检验课程的兴趣,培养其将理论知识与交通事故现场痕迹勘验实践相结合的能力,实现理论应用于实践,并通过实践促进理论教学改革,平台通过交叉融合人工智能技术、三维建模技术及数智化虚拟仿真技术,直观呈现车辆运动、碰撞及车体痕迹形成过程的参数信息。平台解决了车体痕迹检验实训实验成本高、可重复性差及风险高等突出问题,显著提升了交通事故处理中车体痕迹检验实验的教学质量。
To enhance students’interest in learning the course of traffic accident trace inspection and cultivate their ability to effectively integrate theoretical knowledge with on-site trace inspection practices in traffic accidents,the platform applies theory to practice and promotes the reform of theoretical teaching through practical engagement.By integrating artificial intelligence technology,3D modeling technology,and data-intelligent virtual simulation technology,the platform visually demonstrates the parameter information of vehicle motion,collision,and the formation process of vehicle body traces.It addresses prominent issues such as high costs,poor repeatability,and high risks in practical training experiments for vehicle body trace inspection,thereby significantly improving the quality of experimental teaching in traffic accident handling.
作者
肖煌
XIAO Huang(Traffic Management Engineering School,Guangxi Police College,Nanning Guangxi 530028,China)
出处
《信息与电脑》
2025年第9期73-75,共3页
Information & Computer
基金
广西警察学院2023年应用型示范课程建设项目。
关键词
交通事故
数智化
虚拟仿真
痕迹检验
traffic accident
data intelligence
virtual simulation
trace inspection
