Shonan Meeting, 2014/03/ Traffic Data Visualization and Visual Analysis
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1 Traffic Data Visualization and Visual Analysis
2 2 Urban Traffic Data! Laser&Scanned Taxi&GPS RFID Social&Media
3 Road Cross Shonan Meeting, 2014/03/10-13 Trajectory Data 3! Laser Scanning Raw data collected as point cloud Image courtesy of Zhao et al Preprocessed data as moving object, further classified
4 4 Road Cross Trajectory Data! Microscopic trajectory data set collected at a road intersection! 209,426 trajectories! Length, Width! Track Type: Pedestrian, Bus, Bicycle, Car and Other! Sample point array! 333,362,651 sample points! Position, speed, direction, time! 2 day s data: 7:00am- 21:00pm
5 TripVistra: Trajectory Data Visual Anlaytics 5! Spatial View Control Panel Temporal View Time range selection Parallel Coordinates [PacificVis&2011]
6 Beijing Taxi GPS Data 6
7 7 Beijing Taxi GPS Data! Beijing taxi GPS data! Size: 34.5GB! Taxi number: 28,519! Sampling point number: 379,107,927! Time range: 2009/03/02~25 (24 days, but 03/18 data is missing)! Sampling rate: 30 seconds per point (but 60% data missing)! Beijing road network (from OpenStreetMap)! Size: 40.9 MB! 169,171 nodes and 35,422 ways
8 8
![9 Traffic Jam Detection Raw&taxi& GPS&Data Raw&Road& Network Defining&propagaBon&based&on& spabal/temporal&relabonship:& e 0 e 1 [VAST&2013] Cleaned& GPS&Data Processed&& Road& Network](/docs-images/80/82278370/images/9-0.jpg "GPS&Trajectories&Matched& to&the&road&network Road&Speed&Data Traffic&Jam&Event&Data Traffic&Jam&DetecBon e 0 a 9:10&am 50&km/h 9:20&am 45&km/h 9:30&am 12&km/h 9:40&am 15&km/h e 1 b e 0")
9 9 Traffic Jam Detection Raw&taxi& GPS&Data Raw&Road& Network Defining&propagaBon&based&on& spabal/temporal&relabonship:& e 0 e 1 [VAST&2013] Cleaned& GPS&Data Processed&& Road& Network GPS&Trajectories&Matched& to&the&road&network Road&Speed&Data Traffic&Jam&Event&Data Traffic&Jam&DetecBon e 0 a 9:10&am 50&km/h 9:20&am 45&km/h 9:30&am 12&km/h 9:40&am 15&km/h e 1 b e 0 &happens&before&e 1,&and& on&a&dway&following&e 1 9:10&am 55&km/h 9:20&am 10&km/h 9:30&am 12&km/h 9:40&am 45&km/h
10 10 Traffic Jam Detection Road&of& Interest Road&Segment&Level&ExploraBon&and&Analysis One& PropagaBon& Graph PropagaBon&Graph&Level& ExploraBon PropagaBon&Graph&List Road&Speed&Data PropagaBon& Graphs&of& Interest SpaBal&Density Time&and&Size&DistribuBon Topological& Clustering&& Traffic&Jam&Event&Data Traffic&Jam& PropagaBon&Graphs Dynamic&Query SpaBal&Filter Temporal&&&Size&Filter Topological& Filter
11 11 Visual Interface: Single Road Level! Pixel based visualization Time of a day: 144 columns (each for a 10min) Days: 24 rows (each for one day) Each cell represents one time bin Color encode speed
12 Case Study: Road Level Exploration and Analysis 12! Different road congestion patterns
13 Case Study: Road Level Exploration and Analysis 13
14 14 Propagation Graph Analysis! Spatial Temporal information of one propagation Large delay Spatial path Temporal delay
15 15 Propagation Pattern Exploration! Propagation graphs for one region in the morning of different days
16 16!
17 17
18 18
19 19
20 20
21 21!
22 22 Weibo ThemeMap
23 23 Weibo ThemeMap!
24 Xiamen Traffic 24
25 Xiamen Traffic 25!
26 26!
27 27 Traffic RFID!
28 :00-09:10 Shonan Meeting, 2014/03/ !
29 29!
30 30 Visualization in Science No. No. FIg Visualization Type Article 1 6 Bar Char, Image, Graph 2 6 Image, 2D Illustration, 3D Illustration, 2D Plot Report 1 1 Bart Chart 2 4 Illustration, Scatter Plot, Line Chart 3 4 3D Illustration, 2D Illustration, 3D Geometry, Trajectory Drawing, Image 4 4 Volume Rendering, Iso-contour, 3D surface, Heart Map, Isosurface, 2D plot 5 4 Bar Chart, Plot, Illustration, Image, Multivariate Bar Chart 6 4 Bar Chart, Star Glyph, Gene Bar 7 4 Bar Chart, Pie Chart, Image, Scatter Plot 8 4 3D stracture 9 2 Scatter Plot 10 4 Bar Chart, Circular Plot, Image 11 4 Bar Chart, Plot, Star Glyph, Small multiples 12 4 Map, Matrix, Tree 10/11/2013
31 Shonan Meeting, 2014/03/10-13!a 31
32 32 Visualization Assembly Line
33 33 Visualization Assembly Line
34 34 ivisdesigner!
35 35 ivisdesigner!
36 36!
37 37 Future?! More Data! More Accessibility! More User Friendness! Data Integration!.
38 Vis Workshop PKU 38! ! 500 attendants
Visual Traffic Jam Analysis based on Trajectory Data
Visualization Workshop 13 Visual Traffic Jam Analysis based on Trajectory Data Zuchao Wang 1, Min Lu 1, Xiaoru Yuan 1, 2, Junping Zhang 3, Huub van de Wetering 4 1) Key Laboratory of Machine Perception
Contact: Ye Zhao, Professor Phone: Dept. of Computer Science, Kent State University, Ohio 44242
Table of Contents I. Overview... 2 II. Trajectory Datasets and Data Types... 3 III. Data Loading and Processing Guide... 5 IV. Account and Web-based Data Access... 14 V. Visual Analytics Interface... 15
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