Notes
Slide Show
Outline
1
 
2
"Fusing"
  • Fusing, Disseminating, & Archiving Transportation Data from Six States
  • Situational Awareness
  • Performance Measures & Visual Analytics Tools
3
RITIS Components
  • Three main components
    • Real-time data feeds
      • For integrating RITIS data into your own system
    • Real-time web site
      • For those who don’t have their own systems
      • For those who don’t want to integrate
      • Will be modified for the media and the public
    • Data Archive
      • Performance Measures
      • Analysis and Studies
      • After Action Reviews


4
Our REAL Challenge
  • Our Challenge:  Make ALL of this data easily accessible, usable, and understandable to end users and ITS applications…
  • Our “Design Mantra”
    • Towards no user manuals…
    • Visually pleasing…
    • Web accessible…
    • Useful!!!
    • Afford freedom to explore…
    • Overview, Zoom, Details on Demand




5
RITIS Website
6
Interactive RITIS Website
7
Interactive RITIS Website
8
Weather Radar & NWS Alerts
9
Dynamic Message Signs & other Devices
10
Transit (Bus & Rail)
11
CCTV Personal Video Wall
12
CCTV Personal Video Wall
13
CCTV Personal Video Wall
14
CCTV Personal Video Wall
15
Police, Fire, EMS, & Other Radio Feeds
16
Other Features
  • Agency Emergency Contacts
  • FITM Plans
  • Evacuation Routes
  • Detector Data Trends
  • Comparative Speeds
  • Queues
17
Adding the Clarus Data
18
Latest Progress
  • ALL Clarus data integrated into RITIS
  • Building applications for various user groups:
    • Real-time
      • Ops
      • Power Users
      • Travelers
    • Archive
      • Researchers
      • Planners
      • Etc.


19
 
20
 
21
 
22
Historical Data
  • Performance Measures
  • After Action Reviews
  • Planning & Operations Research
  • Safety Analysis
  • Cost/Benefit Analysis


23
Detector Data Analysis
24
Incident Heat Maps
25
Corridor Incident Locations
26
Bottleneck Analysis
27
Some examples: Congestion Scan
28
Making Use of the Archive
  • Visual Analytics: What they are?  How are the different?
  • Examples…


29
Clarus in the Archive
30
Choosing a Station
31
Exploring the Data
32
Multivariate Relationships
33
Next Steps
  • Refine/Enhance visual tools:  Speed, functionality, etc.
  • MORE data integration: Radar, AVL, etc.
  • More Vis tools:
    • Spiral Charts


34
www.cattlab.umd.edu/demo
35
Questions
  • For additional information contact
  • Michael L. Pack,
  • Director, CATT Laboratory
  • PackML@umd.edu
  • 301-405-0722
36
Demo Links
  • Clarus Data Viz Demo
  • Spiral Demo
  • RITIS (production)
  • RITIS (staging)
  • ArcChart