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ITS Data Sharing And Systems Integration
RITIS Overview and other thoughts on the importance of data visualization and ease of access...
Michael L. Pack, University of Maryland CATT Laboratory
• Many traffic management centers collecting large amounts of data: – Washington, D.C. TMC – Maryland CHART TMC – Northern Virginia TMC – Several Large County TMCs – Several Transit Agencies – Emergency Management
Agencies – Computer Aided Dispatch
• None of this data is standardized!
• Coordination?
Transportation in and around D.C.
RITIS Components
• Three main components 1. Real-time data feeds
• For integrating RITIS data into your own system
2. 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
3. Data Archive • Performance Measures
• Analysis and Studies
• After Action Reviews
Our focus for today
Historically… • Agency emphasis on hardware, data
collection, fusion, GIS, standards, etc…
• Significantly less emphasis has been given to:
– Data exploration
– information visualization
– Representing data
CAD, Sensors, GIS, & Incident
Data
Data Proponents & Systems Integrators
Database
Emergency Managers, First Responders, Traffic Ops, etc.
Our 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
Information & User Groups • Traveler Information
• Situational Awareness for
– Traffic Operations
– Public Safety
• Performance Measures & Trends for
– Planners
– Engineers
– Decision Makers
– Media, public, etc.
RITIS Web Users
• 1100+ Unique RITIS Users (does not include accounts for EOCs or TMCs who just display on video walls)
• 150+ Individual Agencies or Organizations. • Examples of agencies:
– DOTs (State & Local) – Transit Providers (WMATA, Dash, PRTC, etc.) – Metropolitan Planning Organizations – Emergency Management Agencies – FEMA – US Army, Air Force, & NorthCom – U.S. Secret Service – U.S. Capitol & Park Police – Fire & Rescue – Law Enforcement (county, city, & state police) – NSA – US Office of Personnel Management – 3rd Party Traveler Info Providers – University Researchers
Data Accessibility & Visualization
RITIS Website
RITIS Website
Timeline Visualizations of
Transportation Incidents
The Archive
Analyzing Historical Data: ICE
HotSpots
Bottleneck Analysis Dashboard
Bottleneck and incident prioritization
Bottleneck and incident overlays
Bottleneck Analysis
Real-time and point-in-time
Probe reading overlays
Recurring bottlenecks
Historical analysis: Charts & Graphs
Historical analysis: Charts & Graphs
Historical analysis: Charts & Graphs
Historical analysis: Charts & Graphs
Identifying congestion over time and space
Comparisons
Animated Trend Map: Jan. 2012, Wed. 6PM
Animated Trend Map: Jan. 26, 6PM
Some examples: Congestion Scan
Conclusions • Visual Analytics (when done right) help
users to work faster, smarter, cheaper…
• Better visual analytics means more analysis, more users and innovative results
• Better visuals communicate more effectively, and can help to sell
both your point, and your
programs!
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Questions For additional information contact
Michael L. Pack,
Director, CATT Laboratory
301-405-0722