机构地区: 清华大学信息科学技术学院自动化系
出 处: 《清华大学学报(自然科学版)》 2011年第3期313-317,共5页
摘 要: 该文研究了路段流量序列间互相关系数与其空间距离的关系。通过对城市路网各路段交通流量序列进行互相关分析,研究了网络交通负荷、交通流日变化趋势及流量采样周期对该关系的影响。结果表明:间距相同的若干路段对的互相关系数各不相同;在统计意义下,路段间平均互相关系数随路段空间距离增大而减小;随着交通网络负荷的增加网络交通流渐趋拥堵,路段交通流的互相关性逐渐增强。基于路网交通流空间互相关分析的结果为相应的流量采样周期的选取提供了建议。 This work investigates the relationship between the traffic flow series' cross correlation coefficient(CCC) and the spatial distance of the road network sections.A cross correlation analysis(CCA) is used to analyze the traffic flow time series in each section within the traffic network to study the influences of traffic load,daily flow trends and sampling period on the CCA of the traffic flow series.These studies show that the CCC of section pairs with the same distance differ from each other.However,the mean of CCC with a specified distance decreases with this distance gradually.Heavier traffic loads cause more congestion,which increases the interactions between sections and results in a larger CCC.The results also show how to select traffic flow's sampling periods for CCA.