CAJ | 학술논문

了解城市道路交通流的时空特性有助于提高交通流的预测精度。基于实测的车牌识别数据，运用相似系数、快速傅氏变换和混沌理论分析交通流相似性、周期性和混沌性的时间特性；运用相关系数及互相关函数作为度量标准对交通流空间特性进行描述，论证交通流检测断面之间存在空间相互作用并具有时滞性；根据交通流的空间相关性，使用多维标度法对实际路网中检测断面进行聚类和分组，为交通流预测中的多断面分组以及构建交通流时空预测模型提供理论基础。
료해성시도로교통류적시공특성유조우제고교통류적예측정도。기우실측적차패식별수거，운용상사계수、쾌속부씨변환화혼돈이론분석교통류상사성、주기성화혼돈성적시간특성；운용상관계수급호상관함수작위도량표준대교통류공간특성진행묘술，론증교통류검측단면지간존재공간상호작용병구유시체성；근거교통류적공간상관성，사용다유표도법대실제로망중검측단면진행취류화분조，위교통류예측중적다단면분조이급구건교통류시공예측모형제공이론기출。
To understand the spatial and temporal characteristics of urban road traffic flow will help to improve the prediction accuracy of traffic flow .The authors analyze spatial and temporal characteristics of urban arterial road traffic flow based on license plate recognition data .First ,Similarity coefficient ,FFT and chaos theory are adopted to analyze the temporal characteristics of traffic flow ,such as similarity , periodicity and chaotic property . Second , the spatial characteristics are analyzed by using correlation coefficients and cross -correlation function .It proves that spatial interaction has existed between the detection sections ,and it has time -delay .At last ,according to the spatial correlation of traffic flow , multidimensional Scaling Method is proposed to divide an actual road network into several smaller ones , w hich can provide theoretical basis for the clustering analysis of traffic counting points in short -term traffic flow forecasting and building the time-space traffic flow predicting model .