Spatial-temporal division based on peak hour traffic flow rate is used in the detection of a traffic anomaly. A spatial-temporal subzone is created by dividing one day into several time segments of 30 minutes, each defined as a time subzone; dividing one implemented area into several spatial segments of 200m x 200m or 400m x 400 m according as the peak hour flow rate is greater or less than 1000 vehicles per hour, each defined as a spatial subzone; and defining an intersection of one time subzone and one spatial subzone as a spatial-temporal subzone. Historical and real-time GNSS positioning data of floating vehicles is respectively pre-processed into sampled vehicle travel time data relating to historical and real-time trajectories. These are used in a finite mixed modelling method to establishing respective historical and real-time travel time probability distributions. Jensen-Shannon divergence is then used to measure a difference between said probability distributions and an anomaly index of traffic conditions is determined from said difference. The accuracy of said anomaly index is then evaluated.
A method for detecting traffic anomaly with non-equidistant spatial-temporal division based on peak hour traffic flow rate