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在运用数理统计方法分析实际数据的基础上,结合国内外的已有研究结果,初步认为在自行车流量小的情况下,泊松分布比较适用于描述自行车到达量的统计分布;而当自行车流量很大时,负二项分布比较适合描述一定条件下的自行车到达量的统计分布.考虑到自行车到达分布的复杂性,文中借鉴知识推理的一些概念和方法,非精确地描述了自行车到达分布规律.
Based on the analysis of the actual data by mathematical statistics and the existing research results both at home and abroad, it is preliminarily considered that the Poisson distribution is more suitable for describing the statistical distribution of bicycle arrival when the bicycle flow is small. When the bicycle flow is very heavy The negative binomial distribution is more suitable to describe the statistical distribution of bike arrival under certain conditions.Considering the complexity of bike arrival distribution, this paper draws on some concepts and methods of knowledge reasoning to describe the bicycle distribution irregularly.