文章基本信息

标题：Research on the Correlation between Urban Scale and Congestion Level and Computer Simulation Based on CA Model
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作者：Sun Hai ; Zhao Lin ; Gao Huiwang 等
期刊名称：International Journal of Smart Home
印刷版ISSN：1975-4094
出版年度：2016
卷号：10
期号：9
页码：145-154
出版社：SERSC
摘要：With the constantly expanding of the scale of the city, urban traffic congestion has aroused people's attention. As a result, traffic congestion can lead to excessive energy consumption and the environmental pollution, which restrict the sustainable development of the city. This paper aimed to build a mathematical model and a traffic flow simulation based on CA model to study the intrinsic reasons of the congestion dilemma in the city especially in the big city, and to explore the correlation between urban scale and congestion effect. Research results showed that, if the existing traffic density was constant and the destination was always random, the continuous expansion of the scale of the city would inevitably leaded to increased congestion. And finally getting the conclusion that the traffic congestion state was easier to accept in the city within 20km x 20km, and this study would provide reference for the government to formulate reasonable urban and transportation planning.
关键词：Urban scale; Traffic flow; Congestion level; Grid model; Cellular ;automaton