基于可拓聚类模型的公交交通量预测

2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE) Pub Date : 2010-09-20 DOI:10.1109/ICACTE.2010.5579051

Wenjuan Wang, Yongquan Yu, Shoujian Lan

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引用次数: 0

摘要

本文分析了公共汽车交通量的影响因素。利用物元概念和相关函数建立预测模型，通过聚类分析得到预测结果。通过对广州市历史数据的分析计算，结果表明该模型在公交车交通量方面是有效的。

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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Prediction of bus traffic volume based on extension cluster model

This paper analyze the influential factors of bus traffic volume. Use the concept of matter-element and correlation function to establish prediction model, the prediction results can be obtained by means of cluster analysis. Through analyzing and calculating the historical data of Guangzhou City, the results show that the model in the bus traffic volume is valid.

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2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE)

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