… will be taken into consideration in our traffic flow similarity mining study in the near future. …
In this paper, how to robustly find the potential similarities of urban traffic network flow in multi-…

… In this paper, the similarities between traffic flow objects with spatial temporal characteristics
were measured by introducing the Dynamic Time Warping (DTW) and the shortest path …

… traffic flow data to congested and free flow regimes. Clustering techniques identify the
similarities … A framework is proposed for clustering traffic data based on fundamental traffic flow …

… Another related area to our work is the work done in defining similarity measures
between large time series. Felix Iglesias et al. [12] analyze the various different types of …

… Function to depict similarities between different traffic flow series according to the observed
flow data. … So we import CCF to mining spatiotemporal similarities according to the observed …

… In this paper, we measure the similarity between any two traffic time series using DTW rather
than using Euclidean distance that is commonly seen in most transportation studies. For the …

… Definition 2: We define the historical traffic flow as a traffic flow’s feature matrix χ N × T .
An N × T matrix to record the value of the traffic flow at different time points, where N is the …

… the traffic flow will be easier as the amount of manually inputted parameter is reduced [2].
However, describing the dynamics of traffic flow … of monitoring for traffic flow, behavioral pattern …

… traffic time series that have similar fluctuation pattern, so we first identify the daily trend of the
traffic flow … to retrieve the most salient features of traffic flow time series. There are two main …

… traffic flow series into basis series and deviation series, the concepts of similarity and
repeatability of traffic flow … verified through the real-time big traffic data of 82 days with a sampling …