The judgement of the traffic condition by using the cluster analysis

Y. Kaneko, I. Ohe, H. Kawashima, T. Hirano
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引用次数: 3

Abstract

The function of an expressway is very important in modern cities, but the increase of traffic demand has created the recurrent traffic jam. The traffic jam is one of the main social problems. As a consequence, drivers desire the provision of accurate information about congestion. This paper proposes a new definition of the degree of congestion based on the analysis of traffic flow. In the present surveillance of congestion, the judgement is composed of two stage procedures. The first procedure is the judgement of congestion at each section, about 1 km. The second procedure is to combine the judgements of sections to the total judgement of a link which is about 5-10 km. The results of the first procedure fluctuate from section to section and therefore the overall degree of congestion of a link which is commonly used in traffic surveillance becomes unstable. This is due to the fact that the judgement of the first procedure is based on only the velocity measured by vehicle detectors. The general theory of traffic flow tells that the traffic condition can't be accurately judged by velocity. To solve this problem, volume, velocity and occupancy are handled at the same time in analyzing the traffic flow.
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利用聚类分析对交通状况进行判断
在现代城市中,高速公路的功能十分重要,但随着交通需求的增加,交通堵塞现象时有发生。交通堵塞是主要的社会问题之一。因此,司机们希望提供准确的交通拥堵信息。本文在分析交通流的基础上,提出了一种新的拥堵度的定义。在目前的拥堵监测中,拥堵判断分为两个阶段。第一步是判断各路段的拥堵情况,大约1公里。第二步是将各段的判断合并为5-10公里左右路段的总判断。第一个过程的结果在不同路段之间是波动的,因此通常用于交通监控的链路的总体拥塞程度变得不稳定。这是由于第一个程序的判断仅基于车辆探测器所测得的速度。一般的交通流理论告诉我们,不能用速度来准确判断交通状况。为了解决这一问题,在分析交通流时,要同时处理体积、速度和占用率。
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