CM碰撞模型的建立及试验验证

为了再现交通事故 ,该文从间接描述碰撞阶段的特征参数出发 ,采用不同的参数子集 ,建立了分类碰撞模型。提出了虚拟模型的概念 ,应用人工智能技术 ,根据特定碰撞类型的特点进行分析 ,充分利用这些特点进行模型假设 ,简化了模型的求解。编制了计算机应用软件。并用日本汽车研究所与整车碰撞实验数据系列进行验证 ,结果表明本模型可以应用于事故再现

Development and validation of CM impact model

Due to the importance of the impact phase for accident reconstruction, several models are built up. In all these models, some specific parameters are adopted, which directly describe the characteristics of the impact phase. Based on a set of characteristic parameters which indirectly describe the impact phase, the classified method (CM) impact model is developed, in which a different parameter subset is used. The concept of virtual model is introduced. By means of the technique of artificial intelligence, the characteristics of a given impact type are analyzed, from which the model assumption is made to simplify the solving of model equations. The algorithm of the model is achieved on a computer. The CM model is verified through the impact test data of JARI (Japan Automobile Research Institute) and RICSAC (research imput for computer simulation of automobile collisions). The results show that the CM model is feasible in accident reconstruction.