1. INVENTORY AND HISTORY

2. Instructional Objectives n Types of inventory and historical data n Different methods of collecting inventory and historical data n Quality Control

3. Instructional Objectives n Upon the completion of this module, participants will be able to accomplish the following: n Define types of inventory and historical data necessary for use in a PMS n Be aware of different methods of collecting data n Understand the use of ground penetrating radar (GPR) in a PMS to supplement construction layer history. n Understand the importance of quality control (QC) on data collected.

4. Inventory Plan n Inventory process is foundation of a PMS n Data must be: –Relevant –Reliable –Cost effective to collect –Cost effective to maintain Compare Data from Different Sources Database vs. GIS vs. Map

5. COST vs. Sophistication $ Sophistication Data Collection Analyses Equipment Maintenance PAVEMENT MANAGEMENT SYSTEMS

6. Two Important Rules n Collect only the data you need! n Collect the data only when you need it! Data collection is time-consuming, expensive to collect and store, and expensive to analyze.

7. Inventory Plan Factors n What decisions are to be made? n What data is necessary to make decisions? n Size of pavement network n Type and characteristics of agency

8. Data Sources n Hard copy (paper) files n Digital (electronic) files – spreadsheets, databases, documents n Maps n GIS data n Others (Internet)

9. Collecting Inventory Data As much data as possible should be developed in the office first and prepared on data forms or tabular formats so that a field verification of the inventory can be performed efficiently.

10. Collecting Inventory Data Field survey teams Slower More expensive Better reporting of field conditions Requires more preparation Photographic/Video logs Fast Less expensive Limited viewing area Requires more post processing Field verification of data Time consuming Expensive MANDATORY Office data Paper Digital

11. Collecting/Verifying Field Inventory Data Vehicle equipped with a distance measuring instrument (DMI) or GPS, and a manual measuring wheel Pavement Network Map Field Data Sheets Walking survey

12. COST vs. Sophistication $ Sophistication Data Collection PAVEMENT MANAGEMENT SYSTEMS

13. PMS inventory at the network-level Typical Data Elements  Section identification  Location - defines start and stop points (milepost, cross-street, etc.)  Geometrics  Pavement structure, construction and maintenance history  Cost  Traffic  Proposed work or work-in-progress

14. Example Inventory Data  Route Number  Route Type (Interstate, US, NJ)  Functional Class  Length and Width  Divided/Undivided Route Section (Median)  Pavement Type  Number of Lanes and Widths  Shoulder Type and Widths  County/Municipality  Legislative District  Regions

15. Defining Sections/Segments n The length or size of sections will determine volume of data to be collected n Large sections - less uniform n Small sections – –more data storage and –typically must be combined together in project-level analysis n Section requirements

16. Homogeneous Sections n Change in pavement type n Change in pavement structure n Change in traffic n Geographical of political boundaries n Boundary between previous construction n Change in pavement condition

17. Homogeneous Sections Geographic or man-made boundaries may offer or force section limits: n Rivers or streams n City or township limits n County lines n Railroad grade crossings n District, ward, or parish lines

18. Homogeneous Sections Great care must be used to locate the section boundaries using the location referencing system Proper use of the location referencing system is key to establishing the relationship between the sections and other data elements within the PMS database

19. Section Identification n Purpose – Create a unique identification for each section n Methods - The section identification system selected must contain a unique section ID and a definite section start and stop points. One item remains critical, field crews and the database systems MUST be able to locate exact section boundaries both in the field and within the databases.

20. Analysis Section Identification Sections can be combined into ANAYSIS SECTIONS that can be used for condition data collection and performance and economical analyses. 0.1 mile data collection vs. 3 mile analysis sections 60,000 records vs. 1500 analysis sections

21. Route Designation US 6 STH 144 STH 75 Route Direction MP Start MP End EB NB WB SB

22. Link Node System US6-02- STH144-01 STH75-01 STH75-02 US6-01- US6-03- Route Direction Node Names Limits

23. PAVEMENT HISTORY Initial Construction Data Date, Treatment, Cost, Material, Structure, etc. Pavement Preservation Date, Treatment, Cost, Material, Structure, etc. Routine Maintenance Date, Treatment, Cost, Material, Structure, etc. Rehabilitation Date, Treatment, Cost, Material, Structure, etc. Reconstruction Date, Treatment, Cost, Material, Structure, etc.

24. TRAFFIC/LOADS TRAFFIC VOLUMES ARE A SURROGATE FOR LOADS MIXED TRAFFIC VOLUMES – LOAD EQUIVALENCIES - 18KIP ESAL Load Spectral Density STATIC AXLE WEIGHT WEIGH-IN-MOTION (WIM)

25. COSTS AGENCY COSTS P&E AND DESIGN CONSTRUCTION PREVENTIVE AND ROUTINE MAINTENANCE REHABILITATION / RESURFACING / RECONSTRUCTION SALVAGE USER COSTS DELAY FUEL / MAINTENANCE

26. Quality Control of Data n Integrity – Data Equality n Accuracy - data values represent as close as possible the actual measurement n Validity - given value is correct based on a reasonable range and field validation n Security – –data being stored are confidential –if the data are destroyed, backups must be available so they can be restored

27. Choosing What’s Right for YOU

28. Questions?