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Connected Data Platform: GDOTs Solution to the Fire Hose Problem ITE/ASHE Winter Workshop March 3, 2019 An Engineers Life Software, logins, databases, etc. Repetitive work tasks Heavy duty spreadsheet work Multiple software


  1. Connected Data Platform: GDOT’s Solution to the Fire Hose Problem ITE/ASHE Winter Workshop March 3, 2019

  2. An Engineer’s Life Software, logins, databases, etc. • Repetitive work tasks • Heavy ‐ duty spreadsheet work • Multiple software applications • Data cleansing, accuracy

  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

  4. How can data help make better informed decisions? Streamline workflow activity • Automated alerts and alarms • One screen monitoring • Dashboard sharing • Automated reports

  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

  6. CDP Platform and Data Elements

  7. High Level Architecture

  8. Phas e 1 F ocus Areas Safety and ITS Device Applications • Vehicle and pedestrian crash reporting • Crash data visualization • ITS device uptime status • ITS device reliability tracking

  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

  10. K ey C ons iderations What is the value of aggregating another data set into the CDP? • Behaviors vs outcomes • X + Y X*Y benefit • Number of users Connected Transportation • Value of comparability (rates) Smart Transformation

  11. The C DP Vis ion How will we do work in 5 years? • Autonomous and connected vehicles • Additional vehicle data sources • New field devices • Closer to “mission critical” status

  12. GDOT Data Aggregation Master Plan Connected Data Platform, with Analytics Platform support Users: GDOT, GDOT Users: GDOT, GDOT consultants, Users: GDOT, GDOT consultants consultants, local agencies local agencies, public CHAMP Vehicles NaviGAtor ATMS Transit Vehicles (Verizon Networkfleet) Speed and incidents WAZE O&M Activity Tracking Rail Vehicles & Crowd ‐ sourced incident info (District 3) Highway / Rail Activity Traffic Signal and ITS Device Oversize Vehicles and GEARS crashes Asset Management Weigh ‐ in ‐ Motion data Maximo HERO & CHAMP Freight / Container / Port / ITS Maintenance Tickets Dispatch & Activity Aviation Activity First Responder & Law Weather SPaT and Connected Vehicle Data Enforcement Vehicles historical & current Mark 1 Asset Management via Video HERE Traffic Signal Performance Processing Traffic data Weather New ATMS forecast Phase 1 Phase 2 Phase 3 For Discussion Purposes Only

  13. For Discussion Purposes Only NHTSA NHTSA “6 “6 ‐ Pa Pack” of of Da Data Quality ality

  14. GEARS / CDP Tr Traffic Sa Safety ty – M – Motorized (St (State ‐ wi wide) de)

  15. GEARS / CDP Tr Traffic Sa Safety ty – N – Non ‐ Mo Moto torized (St (State ‐ wi wide) de)

  16. GEARS / CDP Na Navi vigati tion on

  17. Crash Filtering

  18. Pedestrian and Bicycle Crashes in Downtown Atlanta (2017)

  19. Crash Data Details

  20. Crash Icon Management

  21. Vehicle Crash Diagram

  22. Non ‐ Motorized Crash Diagram

  23. Heat Diagram

  24. Standard Reports • Vehicle safety report • Non ‐ motorized safety report • GDOT ITS Device report

  25. Maximo / CDP Tr Traffic Ma Manage nagement ment Devi Device ce Reliab liability ility

  26. For Discussion Purposes Only WAZE

  27. For Discussion Purposes Only CHAMP Vehicles (Freeway Service and Maintenance)

  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

  29. Maintenance Vision: Prioritization and Exposure • Guardrail repairs based on vehicle exposure • Pavement condition rating and repair

  30. Program Vision: Planning and Designing for Safety • Driver behavior factors • Influence of environmental factors • Emergency vehicle routes and patterns • Crash characteristics

  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

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