Automated Asset Data Collection and Integration

Omar SmadiCenter for Transportation Research and Education

Monday, September 24, 2001

4TH National Transportation Asset Management Workshop

Madison, Wisconsin 2001

Presentation Outline

Asset Management / Process Why Data / Data needs Data issues Data collection tools Data integration (GIS)

Asset Management:

A strategic approach to managing infrastructure. Its goals are:

Build, preserve, and operate facilities in a cost-effective manner

Deliver to the customers the best value for each dollar spent

Enhance the accountability and credibility of infrastructure investment decisions

Asset Management Process Goals and policies Asset inventory Condition assessment Decision support tools Short and long term planning Program implementation Performance monitoring

Data?

Why do we need data? Support decision making

Engineering (design and operation) Economic (budgeting, planning, and

programming) Business (Legislator and public)

Levels of decision Administrative Management Engineering

Data Needs Inventory:

Location Type Age Value

Condition: Functional (Roughness and rutting) Structural (Cracking and deflection)

Cost: User Agency Life-cycle

Data Issues

Data to support decision making Data collection:

Expensive Time consuming Safety implications

Data quality: Objectivity Consistency Frequency

Data Collection Tools Inventory:

As-built plans Manual surveys Video logging Remote sensing

Condition: Manual surveys Automated equipment:

Video Laser

Remote sensing

Data Collection Tools

Data Collection Tools

Data Collection Tools

Data Collection Tools

Data Integration

Effective data integration and data sharing results in improved information management, processing, and decision support capabilities

Data Integration

Advantages: INTEGRATED DECISION MAKING Data integrity Timeliness Availability/Accessibility Completeness Reduced duplication Lower data acquisition cost and storage

Data Integration

Business process Location referencing Geographic information systems

(GIS) Relational databases

Data Integration Example

Pavement History&

Condition

PavementCondition

IPMP GISDatabase

PavementHistory

RoadwayInventory

Cartography

Local Agencies

Data Integration Example

Ride

Cracking

Data Integration

Clinton, Iowa

Data Integration

Sioux CityWoodbury County