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目前,元胞自动机疏散模型采用Von Neumann型和Moore型两种形式的邻域进行演化处理。这两种邻域形式描述行人疏散均有其不足。Von Neumann型邻域忽略了行人斜向运动的可能性,而Moore型邻域虽然考虑了斜向运动,却不能有效地区分斜向运动与水平竖直运动的区别。基于此,在选择Moore型邻域的基础上,提出了斜向运动参量的概念,重新阐述了疏散演化规则,修正了原Moore型邻域在描述疏散中的不足,更精确地反映了行人的疏散动力学特征。进一步利用新模型模拟仿真了疏散空间的行人疏散过程,结果表明:斜向运动参量越小,行人选择水平竖直方向运动的可能性越大;疏散时间会随斜向运动参量f值减小而增加。斜向运动参量取0.7左右时,疏散效果最佳;而当斜向运动参量取0时,Moore型邻域的疏散结果演化为Von Neumann型邻域的疏散结果。
At present, the cellular automaton evacuation model is evolved using two forms of Von Neumann and Moore neighborhoods. Both of these neighborhood forms describe pedestrian evacuation as deficient. Von Neumann type neighborhoods neglect the possibility of pedestrians moving obliquely, whereas Moore type neighborhoods can not effectively distinguish the difference between oblique and horizontal vertical movements, although the oblique movement is considered. Based on this, based on the selection of Moore neighborhoods, the concept of oblique motion parameters is proposed, and the evacuation evolution rules are reexplained. The deficiencies of the original Moore neighborhoods in descriptive evacuation are corrected and the pedestrian Evacuation dynamics characteristics. Furthermore, the new model was used to simulate the evacuation process of the evacuation space. The results show that the smaller the inclined movement parameter is, the more likely the pedestrian will choose to move in the vertical direction. The evacuation time will decrease with the decrease of the f value of the oblique movement parameter increase. The evacuation effect is best when the angular movement parameter is about 0.7, while the evacuation result of the Moore neighborhood evolves as the evacuation result of the Von Neumann neighborhood when the oblique movement parameter is taken as 0.