Traffic Monitoring Guide2012 Update

May 9 , 2013

DBPRoadway TransportationData Business Plan

presented to

Data PaloozaU.S. Department of

Transportation

ByAnita Vandervalk, PE, PMP

Introduction

The Data Business Plan Story:

» What is the Problem?

» What did we do?

» What were the Outcomes?

» What were the Recommendations?

» What would be the benefits?

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Introduction

What is the Problem?» FY2010 - Office of Operations identified need to

investigate consistencies between U.S. DOT Data Programs

What did we do?» Developed White Paper on Needs and Gaps in

the Operations and Coordination of U.S. DOT DCM Programs

» Developed a Data Business Plan to mitigate Data Gaps

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Introduction

What was the Outcome of the White Paper?» Data Gaps – resulting from:

• Inconsistencies in the definition of performance measures (e.g. travel time reliability);

• Use of default values for data elements, in some cases the data is not independently validated;

• Redundancies in the collections efforts (inventory is needed);

• Inconsistencies in location referencing of data; and • Varying standards

» Coordination Gaps – due to: • U.S. DOT staffs are often unaware of what projects others

are working on. Resulting in duplication of studies (funding & wasted efforts)

» Data Standards and Governance Gaps to facilitate integration – these include:• Minimum data quality standards for: Data collection &

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Introduction

What was the Recommendation? (cont.)» Goals of the Data Business Plan are to:

• Provide leadership by suggesting or offering best data collection / management practices to the primary data collectors

• Foster coordination and communication across U.S. DOT offices to:

♦ Avoid duplications /redundancies in the collections efforts of data related programs

♦ Address inconsistencies in the definition of performance measures (e.g. travel time reliability)

♦ Address inconsistencies in location referencing of data

♦ Address varying standards

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Introduction

What would be the Benefit? » More transparency and accountability » More efficient ways to locate and take advantage of

available data and information» Standard data integration methods from multiple

sources» Processes and systems that:

• Reduce redundancy and

• Promote consistency in data results

» More timely data and information» More department-wide spatial data tools

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Overview of Data Business Plan

Purpose of the DBP» Address gaps identified in the Data Gaps paper

(e.g. improve the coordination and communication mechanism across U.S. DOT offices to avoid investing resources to the same or similar types of data related programs);

» Serve as prototype for other U.S. DOT offices; and» Provide leadership by suggesting or offering best

data collection/management practices to primary data collectors.

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Overview of Data Business Plan

Data Business Plan Components

» Recommendations to address U.S. DOT needs in serving data end-users and address overlaps and gaps

» Best practices and recommendations on data services and knowledge management tools and procedures

» Recommendations for coordinating data-related efforts within US DOT with the goal of reducing redundant or uncoordinated efforts

» Recommendations for improved governance and coordination among data-related programs and offices within U.S. DOT

***Designed to be a “living document”***

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Overview of Data Business Plan

Goals of the DBP:» GOAL 1. Improve the coordination and

communication mechanism across U.S. DOT and FHWA offices involved with roadway travel mobility data to avoid investing resources in the same or similar types of data related programs.

• Objective 1.1. Identify gaps and redundancies in roadway travel mobility data programs.

• Objective 1.2. Devise “rules of engagement” regarding collaboration of the data functions for roadway travel mobility data.

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Overview of Data Business Plan

Goals of the DBP (cont.):» GOAL 2. Improve the coordination of the data

capture activities associated with ITS JPO-sponsored research in wirelessly connected vehicle technologies with roadway travel mobility data programs within U.S. DOT and FHWA.• Objective 2.1. Identify how current and planned data from

the connected vehicle initiative can support existing roadway travel mobility data programs.

• Objective 2.2. Identify how data from roadway travel mobility data programs within U.S. DOT and FHWA can support the connected vehicle initiative.

• Objective 2.3. Identify existing/future data inventory and data structures/ policies/governance practices that could be applicable to the Research Data Exchange.

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Data Management Practices

Data GovernanceData AcquisitionData QualityData StandardsBusiness Analysis ToolsData Privacy and SecurityData Storage and Access

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Data Management Practices

TraceabilityPerformance MeasuresRisk AssessmentValue of Data ProgramsKnowledge Management

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Stakeholder Needs and Gap Analysis: Stakeholder Group» ITS JPO» BTS» Office of Human Environment – Bike/Ped

Program» HPPI» Office of Operations – Road Weather

Management» Office of Operations – HOTM» TFHRC» FAA» Office of Freight Management & Operations» FMCSA» Research & Development – Visualization» Office of Performance Management

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Stakeholder Needs and Gaps Analysis

Areas for Improvement

» Data Scope (Gaps)

» Data Acquisition and Updating

» Data Quality

» Data Standards

» Business Analysis Tools

» Data Privacy and Security

» Data Storage and Access

» Internal Coordination

» Traceability

» Performance Measures

» Data Governance Framework

» Data Catalog

» Value of Data Programs

» Knowledge Management System

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Data Coordination Framework

Major Components:» Formal designation of Mobility Data Coordination

Group» Data Coordination Model Diagram» Roles and Responsibilities for Data Coordination» Rules of Engagement» Outreach Mechanisms

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Data Coordination Framework

Data Coordination Model Diagram

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Data Governance

Risk Assessment

FHWA Data Governance

Advisory Council

Coordinates with

Data Storage &

Access

Traceability

D. Community of Interest (Internal)

Data Privacy & Security

Data Quality

Data Standards

Business Analysis

Tools

Performance Measures

Data Acquisition

Value of Data

Programs

Knowledge Management

Infrastructure/Inventory Data Working Group

Travel Data Working Group

Climate Data Working Group

Modal Data Working Group

Connected Vehicle Data Capture Working Group

E. Community of Interest (External)

Use

A. U.S. DOT Mobility Data

Coordination Group

Overview of Data Governance

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FHWA Data Governance Advisory

CouncilFHWA Office of

Operations Data Governance Team

Roadway Travel

Mobility Data

Community of

Interest

Connected Vehicle

Data Community of Interest

Relationship of Data Governance Groups

Mobility Data Coordination Group

Formal Designation of Mobility Data Coordination Group to coordinate on data issues:» Data gaps/overlaps in specific types of roadway

mobility data

• Infrastructure/inventory

• Roadway travel mobility data (speed/volume)

• Climate data

• Modal data

• Data capture activities associated with ITS JPO-sponsored research in wirelessly connected vehicle technologies

» Cross-cutting data management issues that impact all data types

• Data quality

• Standards

• Privacy/security

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Rules of Engagement

Example Rules of Engagement» Understand and promote the value of data as a U.S.

DOT-wide asset» Share RFPs for current and upcoming initiatives» Identify needs and opportunities to create links

between data sets to support performance measurement and asset management purposes

» Share current activities and best practices related to data strategies, policies, standards, metadata, architecture, procedures, and metrics

» Develop data standards and stewardship recommendations for consideration by the FHWA Data Governance Advisory Council

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Data Integration Test Pilots

Applicability of Connected Vehicle Data for National Performance MonitoringReconciliation of Speed Data from Multiple SourcesIntended outcomes» Creation of a link between an existing data set and

a connected vehicle data set in the future, » Maximize integration of national data sets for

performance measurement and asset management purposes,

» Creation of value added to the Research Data Exchange or other USDOT research data sets, and

» Documentation of lessons learned for the USDOT, State DOTs and regions.

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Next Steps

Execute Data Business Plan Coordination

Conduct Integration Test Pilots

Execute Data Governance within FHWA Office of Operations

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Questions