Traffic state estimation via a particle filter with compressive sensing and historical traffic data.
Matthew B. HawesHayder M. AmerLyudmila MihaylovaPublished in: FUSION (2016)
Keyphrases
- traffic data
- state estimation
- compressive sensing
- particle filter
- network traffic
- traffic flow
- travel time
- road network
- visual tracking
- particle filtering
- object tracking
- sparse representation
- random projections
- kalman filter
- image representation
- appearance model
- mean shift
- state space
- dynamic systems
- signal processing
- kalman filtering
- data sets
- shortest path
- intrusion detection
- pairwise
- machine learning
- image classification
- object recognition
- computer vision