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Trajectory Visual Analytics (Introduction (Problem Definition, Describe…
Trajectory Visual Analytics
Functionalities
Data exploration
Show tracks at the boundary of phases (0044bb, 0000ff)
Show daily pedestrian tracks (set)
Show tracks by class with phases (4400bb, 1100ee, etc)
Show pedestrian tracks for a phase (tower road)
Show set of tracks in a day
Trend analysis
daily
Temporal evolution of trajectories (particular phase, particular vehicle type) (05, 06, 7AM-5PM, July 6-12)
weekly
Temporal evolution of trajectories (particular phase, particular vehicle type) (05, 06, 7AM-5PM, July 6-12, July 13-19)
hourly
Temporal evolution of trajectories (particular phase)(05, 06, 7AM-5PM)
Temporal evolution of trajectories (particular phase, particular vehicle type) (05, 06, 7AM-5PM)
Debugging
Hovering over a track (anomalies, phases, coordinates, speed, class, etc)
Video and trajectory side by side
Anomaly detection
Show all outliers (day, week)
Show all near-misses (day, week)
Mapping
Camera space
Google map space
Conclusion
Related work
Abstract
Introduction
Problem Definition
Describe the data set
Intersection geometry
Trajectory data
Clustering
Near-miss detection
Overall system
Input
Objects
Time
Trajectories
SPAT
Output
Explore
Debug
Select
Processing
Near-miss detection
Create Database
Clustering