摘要
交叉口是城市交通的关键节点,常发生交通拥堵,在分析交叉口采集的地点平均车速、流量和时间占有率时间序列特征的基础上,提出了交叉口入口交通状态动态时间弯曲(dynamic time warping,DTW)相似度量和K均值聚类的交叉口交通拥堵检测方法,并以某城市70个交叉口实测交通数据为例进行了拥堵检测,结果表明了该方法的可行性.
Aiming at intersection of urban transport where traffic congestion often occurs, the intersection trafficcongestion identification method of dynamic time warping (dynamic time warping , DTW) similar measureof the entrance intersection traffic state and K-means clustering is proposes based on the analyzing time seriescharacteristics of detecting average speed and traffic volume. With true data, 70 intersection traffic congestionsare detected by the method in a city. The results show the feasibility of the approach.
出处
《大连交通大学学报》
CAS
2016年第4期5-9,共5页
Journal of Dalian Jiaotong University
基金
国家青年科学基金资助项目(71403096)
住房和城乡建设部资助项目(2013-K5-25
2013-R2-36)
江苏省高校哲学社会科学研究指导项目(2012SJD630005)
关键词
交通拥堵
交叉口
拥堵检测
动态时间弯曲
K均值聚类
traffic congestion
intersection
congestion detection
dynamic time warping
K-mean clustering