About the Optimized Design of the Parking Space on the Campus of a College

Xin Wang, Yunhui Wang, Chong Hu
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引用次数: 3

Abstract

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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浅谈某高校校园停车空间的优化设计
近年来,随着高校机动车数量的大量增加和校园规划的滞后,校园停车位相对短缺的问题日益严重。本文以保定学院为例,通过问卷调查和实地调查,分析了校园静态交通的现状,找出了校园停车问题。根据数据分析机动车数量的增长趋势,使用GM(1,1)模型和线性拟合模型预测未来的机动车数量,并根据校园规模、功能分区、道路布局确定停车场的规模和布局。基于大数据的校园大停车系统规划方法,有效解决了传统方法样本数据小、准确率低、及时性差等问题,提高了规划结果的实用性和科学性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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