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Research on taxi software policy based on big data

机译:基于大数据的出租车软件策略研究

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Through big data analysis, statistical analysis of a large number of factors affect the establishment of the rally car index set, By establishing a mathematical model to analyze the different space-time taxi resource “to match supply and demand” degree, combined with intelligent deployment to solve the “taxi difficult” this hot social issues. This article takes Shanghai as an example, the central park, Lu Xun park, century park three areas as the object of study. From the “sky drops fast travel intelligence platform” big data, Extracted passenger demand and the number of taxi Kongshi data. Then demand and supply of taxis to establish indicators matrix, get the degree of matching supply needs of the region. Then through the big data relevant policies of each taxi company. Using the method of cluster analysis, to find the decisive role of the three aspects of the factors, using principal component analysis, compare the advantages and disadvantages of the existing company’s programs. Finally, according to the above research to develop a reasonable taxi software related policies.
机译:通过大数据分析,对大量因素的统计分析影响了集会汽车指数集的建立,通过建立数学模型来分析不同的时空出租车资源“以匹配供需”程度,结合智能部署解决这个热门社会问题的“出租车困难”。本文以上海为例,中央公园,鲁迅公园,世纪公园三个地区作为学习的对象。从“天空跌幅快速旅游智能平台”大数据,提取乘客需求和出租车孔子数据的数量。然后要求和供应出租车建立指标矩阵,获得该地区的供需需求的程度。然后通过每个出租车公司的大数据相关政策。利用集群分析方法,找出各个因素的三个方面的决定性,使用主成分分析,比较现有公司计划的优缺点。最后,根据上述研究,开发合理的出租车软件相关政策。

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