FHWA MIRE Management Information System (MIS) · PDF fileFHWA MIRE Management Information System (MIS) ... Intersection inventory ... •Development of a Structure for a MIRE Management

FHWA MIRE Management Information System (MIS)

Carol H. Tan, PhD FHWA, Office of Safety R&D 2013 Traffic Records Forum

29 October 2013

Overview

• Background • Purpose • Overview of Activities

– Data Collection • Research • Lead Agency Program • MIRE Data Collection Guidebook

– Structure of MIS – Performance Measures

• Summary of Results • Questions

Project Team FHWA

Carol Tan & Robert Pollack Project Managers

VHB Nancy Lefler

Principal Investigator

Applied Research Assoc Jag Mallela

Roadway Data Collection

Data Nexus Inc Barbara DeLucia

Information Systems

UNC-HSRC Forrest Council

Performance Measures

MIRE MIS

• Evolution of MIRE from listing to Management Information System (MIRE MIS)

Federal Data Requirements

• Moving Ahead for Progress in the 21 Century Act (MAP-21) – Requires States have in place a safety data system

– Requires States to collect a subset of MIRE – FDEs

• Highway Performance Monitoring System (HPMS) – Requires geospatial network on all public roads

• FHWA Guidance for State Data Systems: http://www.fhwa.dot.gov/map21/guidance/guidesafetydata.cfm

Purpose

• Determine feasibility of implementing MIRE:

–Mechanisms for data collection

–Process for data handling and storage and linkage among files

–Performance measures

• Provide guidance for improving roadway data for safety

Overview of Project Activities

• Collection of MIRE data elements

• Development and testing of MIS structure

• Development/expansion of roadway data performance measures

Data Collection

Collection of MIRE Data Elements

• Research:

– Current and emerging practices and gap analysis

– “Collective data” concept

• Lead Agency Program: pilot MIRE data collection

• MIRE Data Collection Guidebook

Research Synopsis • Products

– MIRE Element Collection Mechanisms and Gap Analysis report

– Exploration of the Application of Collective Information to Transportation Data for Safety White Paper

• Benefits – Provide information and current and emerging

collection methodologies

– Help guide agencies collection practices

Lead Agency Program

• Pilot MIRE data collection

• Test feasibility of collecting MIRE data

• New Hampshire DOT and Washington State DOT

Data Collection

• NHDOT: Intersection inventory for SafetyAnalyst

– 10,300 S/S and S/L intersections

• WSDOT: Intersection inventory for SafetyAnalyst and HSIS

– 15,800 S/S and S/L intersections

• Opportunity to compare collection methodologies

Data Collection Process - Similarities

1. Determine what elements to collect

2. Develop detailed Work Plan

3. Develop tool/model to extract existing data

4. Develop user interface

5. Populate inventory

6. QA/QC

7. Provide sample

8. Provide final data set

New Hampshire DOT

–Pre-populated intersection inventory with existing data

–Then collected remaining needed data

Washington State DOT

– Extracted existing data concurrently with data collection

– Then combined into one dataset

Data Collection Process – Differences

New Hampshire DOT

• All non-proprietary GIS-based

• Easy to develop and implement

• Less labor to develop

• Provided tool to NHDOT

Washington State DOT

• Proprietary software

• More automated/ sophisticated

• More difficult to develop (more time, higher cost)

• More labor to develop

Data Collection Tools

Level of Effort and Cost – NHDOT Activity Hours

Coordination 455

Development of model 75

Development of the data collection tool/interface 175

Develop node layer for the 24,000 local/local intersections 30

Hiring and training of data collection clerks 135

Collection of intersection data:

In-office collection for 10,300 intersections 1,600

In-field data collection for 200 intersections 60

Management and QA/QC 360

Development and delivery of a dataset of traffic volumes 375

Providing the dataset, model, and tool to NHDOT 25

Total Cost $210,000

Level of Effort and Cost – WSDOT

Activity Hours

Coordination 425

Develop data collection tool and interface 815

Collection of intersection data – 15,820 intersections 2,105

Acquire and incorporate third-party traffic volume data 140

Automated import of existing data from WSDOT 445

Conduct QA/QC 590

Exporting the final dataset 250

Total Cost* $340,000

Data Collection: Lessons Learned

• MIRE flexibility

• Develop the work plan

• Constant contact/feedback between the contractor and the State DOT

• Use of the sample dataset

• Use of existing data

• Temporality of the collected data

Lead Agency Program Synopsis

• Products

– Intersection inventory tool

– Intersection inventory for NHDOT and WSDOT

– MIRE MIS Lead Agency Data Collection report

• Benefits

– Lessons learned can help other agencies interested in similar data collection effort

MIRE Data Collection Guidebook

• Definition

• Attributes

• Accuracy statement

• Considerations

• Existing resources

• Collection methods

• Concerns with collection methods

Guidebook Focus

• Focus on elements not traditionally collected

• Collection methodologies

– Data mining

– Manual collection

– Mobile mapping/LiDAR

– Aerial imaging

• Efficiency and concerns

Images courtesy: Mandli Communications, Inc.

Guidebook Synopsis

• Product

– MIRE Data Collection Guidebook

• Benefit

– Provides methodologies for collecting elements that do not already have established methodologies

– Agencies can incorporate into their data collection programs

MIS Structure

MIS Structure

• Development of conceptual model

• Development of prototype

• Testing of prototype

• Reporting

Structure of the MIRE MIS

• Decision support system to improve highway safety

• Developed using relational database model

• Collects data from disparate sources for higher level analysis

Development of MIS Prototype

• Identified concepts for prototype

• Developed relational database structure to match structure

• Added tables and fields to accommodate supplemental data

• Transformed data on import to match the MIS structure

Testing of MIS Prototype

• Developed list of functional targets to test the ability of the MIS to provide data to support safety decisions

• Functional targets areas:

– Querying and analyzing data

– Preparing data for export to other tools

– Providing data quality measures

Conclusions & Lessons Learned

• Data quality matters!

• Using MIRE as guidance - States build system around their own data structure

• Does not address functional aspects of the system

• GIS is an essential part of the MIRE MIS - consistent referencing system for data points

MIS Structure Synopsis

• Product:

– Development of a Structure for a MIRE Management Information System report

• Benefit:

– Demonstrated MIRE MIS is feasible with existing resources

– Agencies can use approach and lessons learned to develop an MIS for their data

Roadway Data Performance Measures

Performance Measures • Tools for measuring data quality and establishing

goals for data improvement

• Primary measures: – Timeliness

– Accuracy

– Completeness

– Uniformity

– Integration

– Accessibility

Roadway Inventory Measures

• NHTSA developed initial performance measures for the six core traffic safety data systems

• Built/expanded on those measures

• Detailed review of measures proposed for roadway data

Performance Measures Synopsis

• Product:

– Performance Measures for Roadway Inventory Data report

• Benefit:

– Provides techniques for assessing and improving the quality of the roadway and traffic data

Summary of Activities

Summary of Project Activities/Products Data Collection:

• Intersection inventory tool

• Intersection inventory datasets for NHDOT and WSDOT

• MIRE Collection Mechanisms and Gap Analysis report

• Exploration of the Application of Collective Information to Transportation Data for Safety White Paper

• MIRE MIS Lead Agency Data Collection report

• MIRE Data Collection Guidebook

All reports available online: http://safety.fhwa.dot.gov/rsdp/

Summary of Project Activities/Products MIS Structure:

• Prototype MIS structure for pilot agency

• Development of a Structure for a MIRE Management Information System report

Performance Measures:

• Performance Measures for Roadway Inventory Data report

All reports available online:

http://safety.fhwa.dot.gov/rsdp/

Summary

• MIRE MIS – how to collect, integrate, manage, and measure data for improved safety decisions

• State and local agencies can realize benefits

Thank you!

Robert Pollack, [email protected]

Dr. Carol Tan, [email protected]

Nancy Lefler, [email protected]

Questions