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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。
In this paper, the relationship between the cross-correlation coefficient and the spatial distance between traffic flow sequences is studied. Through the cross-correlation analysis of traffic flow sequences of urban road network, this paper studies the impact of network traffic load, the trend of daily traffic flow and the flow sampling period on the relationship. The results show that the cross-correlation coefficients of several road sections with the same distance are different. In statistical sense, the average cross-correlation coefficient of road sections decreases with the increase of road space distance. With the increase of traffic network traffic, The cross-correlation of congestion and road traffic flow gradually increases. Based on the results of spatial cross-correlation analysis of road network traffic flow, suggestions are provided for the selection of sampling period of traffic flow.