On the use of clustering analysis for identification of unsafe places in an urban traffic network.
Johan HolmgrenLuk KnapenViktor OlssonAlexander Persson MasudPublished in: ANT/EDI40 (2020)
Keyphrases
- real world
- clustering analysis
- traffic network
- urban areas
- transportation networks
- traffic flows
- data mining
- clustering method
- fuzzy clustering
- data clustering
- cluster analysis
- traffic flow
- anomaly detection
- microarray
- k means
- clustering algorithm
- aerial images
- travel time
- road traffic
- traffic congestion
- traffic light
- pattern recognition