Connected Data Platform: GDOTs Solution to the Fire Hose Problem - - PowerPoint PPT Presentation

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Connected Data Platform: GDOTs Solution to the Fire Hose Problem - - PowerPoint PPT Presentation

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


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SLIDE 1

Connected Data Platform: GDOT’s Solution to the Fire Hose Problem

ITE/ASHE Winter Workshop March 3, 2019

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SLIDE 2

An Engineer’s Life

Software, logins, databases, etc.

  • Repetitive work tasks
  • Heavy‐duty spreadsheet work
  • Multiple software applications
  • Data cleansing, accuracy
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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
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SLIDE 4

How can data help make better informed decisions?

Streamline workflow activity

  • Automated alerts and alarms
  • One screen monitoring
  • Dashboard sharing
  • Automated reports
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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
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SLIDE 6

CDP Platform and Data Elements

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SLIDE 7

High Level Architecture

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SLIDE 8

Phas e 1 F

  • cus

Areas

Safety and ITS Device Applications

  • Vehicle and pedestrian crash reporting
  • Crash data visualization
  • ITS device uptime status
  • ITS device reliability tracking
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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
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SLIDE 10

K ey C

  • ns

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

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SLIDE 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
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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

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SLIDE 13

NHTSA NHTSA “6 “6‐Pa Pack” of

  • f Da

Data Quality ality

For Discussion Purposes Only

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SLIDE 14

Tr Traffic Sa Safety ty – M – Motorized (St (State‐wi wide) de)

GEARS / CDP

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SLIDE 15

Tr Traffic Sa Safety ty – N – Non‐Mo Moto torized (St (State‐wi wide) de)

GEARS / CDP

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SLIDE 16

Na Navi vigati tion

  • n

GEARS / CDP

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SLIDE 17

Crash Filtering

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SLIDE 18

Pedestrian and Bicycle Crashes in Downtown Atlanta (2017)

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SLIDE 19

Crash Data Details

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SLIDE 20

Crash Icon Management

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SLIDE 21

Vehicle Crash Diagram

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SLIDE 22

Non‐Motorized Crash Diagram

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SLIDE 23

Heat Diagram

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SLIDE 24

Standard Reports

  • Vehicle safety report
  • Non‐motorized safety report
  • GDOT ITS Device report
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SLIDE 25

Tr Traffic Ma Manage nagement ment Devi Device ce Reliab liability ility

Maximo / CDP

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SLIDE 26

WAZE

For Discussion Purposes Only

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SLIDE 27

CHAMP Vehicles (Freeway Service and Maintenance)

For Discussion Purposes Only

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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

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SLIDE 29

Maintenance Vision: Prioritization and Exposure

  • Guardrail repairs based on

vehicle exposure

  • Pavement condition rating and

repair

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SLIDE 30

Program Vision: Planning and Designing for Safety

  • Driver behavior factors
  • Influence of environmental factors
  • Emergency vehicle routes and patterns
  • Crash characteristics
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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