City traffic flow character analysis and origin-destination estimation based on data mining

Xin Li, Huapu Lu
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引用次数: 2

Abstract

Video detector is used widely in modern city to monitor the traffic situation. But the data from detectors is usually not fully used. In this paper, we adopt data mining method to deal with these data in order to analyze the traffic flow character and estimate OD matrix more accurately. On the basis of study data character carefully, we discuss the traffic flow feature from 3 parts: spatial, temporal and vehicle types. Then an improved method to obtain OD matrix is proposed. It costs less than traditional method and is more direct and simpler than the method which used link flow to calculate OD matrix. At last ,we study a case with real data in Beijing to verify the effectiveness of this data mining method.
基于数据挖掘的城市交通流特征分析与始发目的地估计
视频探测器在现代城市中被广泛用于监控交通状况。但是来自探测器的数据通常没有被充分利用。本文采用数据挖掘方法对这些数据进行处理,以便更准确地分析交通流特征,估计OD矩阵。在仔细研究数据特征的基础上,从空间、时间和车辆类型三个方面讨论了交通流特征。然后提出了一种改进的OD矩阵求取方法。该方法比传统方法成本低,而且比利用环节流计算OD矩阵的方法更直接、更简单。最后,以北京市的实际数据为例,验证了该数据挖掘方法的有效性。
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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