Spatiotemporal clustering in urban transportation: a bus route case study in Washington D.C.
Xiqi FeiOlga GkountounaPublished in: ACM SIGSPATIAL Special (2018)
Keyphrases
- public transportation
- case study
- public transport
- travel time
- clustering algorithm
- transportation networks
- strategic planning
- clustering method
- route planning
- k means
- data clustering
- high speed
- self organizing maps
- neural network
- transportation systems
- space time
- unsupervised learning
- data points
- road network
- moving objects
- service level
- graph theoretic
- spatial and temporal
- shortest path
- hierarchical clustering
- san francisco
- traffic congestion
- categorical data
- spectral clustering
- data objects
- document clustering
- information theoretic
- distance metric
- anomaly detection
- spatio temporal