SLIDE 1
Connected Data Platform: GDOT’s Solution to the Fire Hose Problem
ITE/ASHE Winter Workshop March 3, 2019
SLIDE 2 An Engineer’s Life
Software, logins, databases, etc.
- Repetitive work tasks
- Heavy‐duty spreadsheet work
- Multiple software applications
- Data cleansing, accuracy
SLIDE 3 Plenty of Data, Not Enough Time...
There is always more to learn from the data. What would improve the effectiveness of an analyst?
- Aggregate data from silos
- Get data on a map
- Assess data quality
- Move toward rate‐based results
SLIDE 4 How can data help make better informed decisions?
Streamline workflow activity
- Automated alerts and alarms
- One screen monitoring
- Dashboard sharing
- Automated reports
SLIDE 5 Introducing the Connected Data Platform (CDP)
- A discovery‐based approach maintains relevance with staff and maximizes
incremental benefit
- Partially mitigates the proliferation of software used by staff
- Simplifies and enhances repetitive work processes by analysts
- Improves quality of decision‐making information for managers
- Provides access control for sharing select data with external stakeholders
- Facilitates comparing data from multiple sources (including data quality)
- Prepares for migration from legacy data sources to CV‐generated data
SLIDE 6
CDP Platform and Data Elements
SLIDE 7
High Level Architecture
SLIDE 8 Phas e 1 F
Areas
Safety and ITS Device Applications
- Vehicle and pedestrian crash reporting
- Crash data visualization
- ITS device uptime status
- ITS device reliability tracking
SLIDE 9 S hadowing and Proces s R eview
What are we doing? How do we do it?
- Spreadsheets!
- Data management
- New questions, same data sets
- Survival tactics
SLIDE 10 K ey C
iderations
What is the value of aggregating another data set into the CDP?
- Behaviors vs outcomes
- X + Y
X*Y benefit
- Number of users
- Value of comparability (rates)
Connected Transportation Smart Transformation
SLIDE 11 The C DP Vis ion
How will we do work in 5 years?
vehicles
- Additional vehicle data sources
- New field devices
- Closer to “mission critical” status
SLIDE 12 GDOT Data Aggregation Master Plan
Connected Data Platform, with Analytics Platform support
Phase 1
NaviGAtor ATMS Speed and incidents GEARS crashes
Phase 2
SPaT and Connected Vehicle Data Traffic Signal and ITS Device Asset Management CHAMP Vehicles (Verizon Networkfleet) WAZE Crowd‐sourced incident info O&M Activity Tracking (District 3) Mark 1 Traffic Signal Performance Maximo ITS Maintenance Tickets
Phase 3
First Responder & Law Enforcement Vehicles Oversize Vehicles and Weigh‐in‐Motion data Rail Vehicles & Highway / Rail Activity Transit Vehicles Asset Management via Video Processing Freight / Container / Port / Aviation Activity Weather historical & current Users: GDOT, GDOT consultants
Users: GDOT, GDOT consultants, local agencies Users: GDOT, GDOT consultants, local agencies, public
HERO & CHAMP Dispatch & Activity New ATMS HERE Traffic data Weather forecast
For Discussion Purposes Only
SLIDE 13 NHTSA NHTSA “6 “6‐Pa Pack” of
Data Quality ality
For Discussion Purposes Only
SLIDE 14
Tr Traffic Sa Safety ty – M – Motorized (St (State‐wi wide) de)
GEARS / CDP
SLIDE 15
Tr Traffic Sa Safety ty – N – Non‐Mo Moto torized (St (State‐wi wide) de)
GEARS / CDP
SLIDE 16 Na Navi vigati tion
GEARS / CDP
SLIDE 17
Crash Filtering
SLIDE 18
Pedestrian and Bicycle Crashes in Downtown Atlanta (2017)
SLIDE 19
Crash Data Details
SLIDE 20
Crash Icon Management
SLIDE 21
Vehicle Crash Diagram
SLIDE 22
Non‐Motorized Crash Diagram
SLIDE 23
Heat Diagram
SLIDE 24 Standard Reports
- Vehicle safety report
- Non‐motorized safety report
- GDOT ITS Device report
SLIDE 25
Tr Traffic Ma Manage nagement ment Devi Device ce Reliab liability ility
Maximo / CDP
SLIDE 26
WAZE
For Discussion Purposes Only
SLIDE 27
CHAMP Vehicles (Freeway Service and Maintenance)
For Discussion Purposes Only
SLIDE 28 Operations Vision: Validating Public Comments and Automated Alerts
- Automated alerts when crash rate exceeds
historical rate
- Automated alerts for right angle crash density
(red light running)
- Identification of unique Waze reporting or
crash patterns
SLIDE 29 Maintenance Vision: Prioritization and Exposure
- Guardrail repairs based on
vehicle exposure
- Pavement condition rating and
repair
SLIDE 30 Program Vision: Planning and Designing for Safety
- Driver behavior factors
- Influence of environmental factors
- Emergency vehicle routes and patterns
- Crash characteristics
SLIDE 31
Thank you!
Emily Dwyer, PE Marc Start, PE PTOE Georgia Department of Transportation AECOM ITS Supervisor Senior ITS/Traffic Engineer 404.635.2461 404.357.6631 edwyer@dot.ga.gov marc.start@aecom.com