Detecting spatiotemporal extents of traffic congestion: a density-based moving object clustering approach.
Yan ShiDa WangJianbo TangMin DengHuimin LiuBaoju LiuPublished in: Int. J. Geogr. Inf. Sci. (2021)
Keyphrases
- traffic congestion
- moving objects
- clustering algorithm
- clustering method
- road network
- k means
- density based clustering
- travel time
- outlier detection
- urban traffic
- video sequences
- anomaly detection
- traffic flow
- traffic signal control
- arbitrary shape
- urban areas
- traffic data
- space time
- unsupervised learning
- traffic information
- traffic jams
- image sequences
- traffic assignment
- information services
- data management
- np hard