Trajectory-Based Clustering of Real-World Urban Driving Sequences with Multiple Traffic Objects.
Lennart RiesPhilipp RigollThilo BraunThomas SchulikJohannes DaubeEric SaxPublished in: ITSC (2021)
Keyphrases
- real world
- movement patterns
- multiple types
- heterogeneous information networks
- clustering algorithm
- similar objects
- clustering method
- multiple objects
- data sets
- k means
- moving objects
- density based clustering algorithm
- data objects
- hierarchical clustering
- transportation networks
- traffic congestion
- synthetic data
- wide range
- urban areas
- web objects
- urban traffic
- similar patterns
- traffic management
- man made
- motion trajectories
- data mining
- road network
- traffic flows
- network traffic
- homogeneous groups
- d objects
- public transport
- case study
- traffic control
- spatio temporal
- spectral clustering
- data clustering
- unsupervised learning