Predicting ambient traffic of a vehicle from road abrasion measurements using random forest.
Christian RögerIrada IsmayilovaPublished in: IWCTS@SIGSPATIAL (2020)
Keyphrases
- random forest
- city traffic
- intelligent transportation systems
- vehicle speed
- traffic accidents
- lane change
- urban traffic
- traffic monitoring
- traffic management
- traffic conditions
- moving vehicles
- traffic flow
- traffic information
- random forests
- traffic light
- decision trees
- road safety
- road traffic
- traffic congestion
- feature set
- traffic density
- traffic simulator
- traffic scenes
- road network
- ensemble methods
- multi label
- autonomous driving
- traffic data
- road segments
- vehicle detection
- autonomous vehicles
- decision tree learning algorithms
- travel time
- traffic safety
- traffic signal
- base classifiers
- driving simulator
- graph cuts
- vehicle trajectory
- feature selection
- data mining