Georgia Department of Transportation Performance Measures - A Case Study in Progress.

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Presentation transcript:

Georgia Department of Transportation Performance Measures - A Case Study in Progress

Introduction  Vision  ITS Deployments  Weekly Report  Framework  User Interface Preview  Challenges  Questions

Vision “The purpose of measuring is not to know how a business is performing but to enable it to perform better.” [I-95 Corridor Coalition] Outcomes Output Traceability

ITS Overview

ITS Overview – TMC

 487 CCTV Cameras  1645 VDS Cameras  548 Video Processors  86 Radar Units  135 Message Signs  25 Network Hubs  145 Ramp Meters ITS Overview – Field Equipment

Current Performance Measures

Framework Foundation 1 Foundation 2 Pillar 1Pillar 2Pillar 3

ITS Systems Engineering Framework Foundation Continual Process Improvement OutcomesOutputContext Iterative

Framework Pillar I – Outcomes Congestion WeatherIncidents TMC Activity  Three Initial Categories  Mobility  Safety  Customer Services  Three Types of Outcomes  Congestion  Incidents  Customer Satisfaction  Many possible variables impact each Outcome Iterative Construction Price of Gas

Framework Pillar II – Outputs (Activities)  TMC activities are one of the variables that impact Outcomes  Output metrics measure TMC activities  Output metrics need to be traceable to Outcomes Congestion Weather Incidents TMC Activity Iterative Construction Price of Gas

Framework Pillar III - Context  Outcome Metrics have Spatial attributes  Outcome Metrics have Temporal attributes  Outputs should contain these attributes to support traceability between Outputs and Outcomes  Other Contextual Variables should be captured Iterative Congestion Weather Incidents TMC Activity Traceability Construction Price of Gas

ITS Systems Engineering Framework Continual Process Improvement OutcomesOutputContext Iterative

User Interface Preview Index Layer Control  Travel Time  TTI  Planning Time Index  Congested Hours  # Incidents  Incident Rate  Customer Satisfaction Charts & Gauges Map Temporal Filter  AM Peak,  Day Off Peak,  PM Peak,  Night Off Peak Week Ending Friday

Challenges  Budget  IT support  Public Perception Data  OTD Data conflict  Upper Management Alignment

Review  Vision  ITS Deployments  Weekly Report  Framework  User Interface Preview  Challenges

Questions Hugh Colton – GDOT Marcus Wittich – SERCO