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摘要:
In recent years, with the large increase in the number of motor vehicles in colleges and universities and the lag in campus planning, the relative shortage of parking spaces on campus has become increasingly serious. Taking Baoding College as an example, this article analyzes the current situation of static traffic on campus and finds out the problem of parking on campus through questionnaire surveys and field surveys. Analyze the growth trend of the number of motor vehicles based on the data, use the GM (1, 1) model and the linear fitting model to predict the number of motor vehicles in the future, and determine the size and layout of the parking lot based on the campus size, functional zoning, and road layout. The big campus-based parking system planning method based on big data can effectively solve the problems of small sample data, low accuracy, and poor timeliness of traditional methods, which improves the practicability and scientificity of planning results.
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篇名 About the Optimized Design of the Parking Space on the Campus of a College
来源期刊 美国计算数学期刊(英文) 学科 交通运输
关键词 Static Traffic Parking Space Planning GM (1 1) Linear Fitting
年,卷(期) 2020,(2) 所属期刊栏目
研究方向 页码范围 221-229
页数 9页 分类号 U49
字数 语种
DOI
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研究主题发展历程
节点文献
Static
Traffic
Parking
Space
Planning
GM
(1
1)
Linear
Fitting
研究起点
研究来源
研究分支
研究去脉
引文网络交叉学科
相关学者/机构
期刊影响力
美国计算数学期刊(英文)
季刊
2161-1203
武汉市江夏区汤逊湖北路38号光谷总部空间
出版文献量(篇)
355
总下载数(次)
1
总被引数(次)
0
论文1v1指导