INVENTORY

AND HISTORY

Instructional Objectives

Types of inventory and historical data Different methods of collecting inventory

and historical data Quality Control

Instructional Objectives

Upon the completion of this module, participants will be able to accomplish the following:

Define types of inventory and historical data necessary for use in a PMS

Be aware of different methods of collecting data

Understand the use of ground penetrating radar (GPR) in a PMS to supplement construction layer history.

Understand the importance of quality control (QC) on data collected.

Inventory Plan

Inventory process is foundation of a PMS Data must be:

– Relevant– Reliable– Cost effective to collect– Cost effective to maintain

Compare Data from Different Sources

Database vs. GIS vs. Map

COST vs. Sophistication

$

Sophistication

Data Collection

Analyses

Equipment

Maintenance

PAVEMENT MANAGEMENT

SYSTEMS

Two Important Rules

Collect only the data you need! Collect the data only when you need it!

Data collection is time-consuming, expensive to collect and store, and expensive to analyze.

Inventory Plan Factors

What decisions are to be made? What data is necessary to make

decisions? Size of pavement network Type and characteristics of agency

Data Sources

Hard copy (paper) files Digital (electronic) files – spreadsheets,

databases, documents Maps GIS data Others (Internet)

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.

Collecting Inventory Data

Field survey teamsSlowerMore expensiveBetter reporting of field conditionsRequires more preparation

Photographic/Video logsFastLess expensiveLimited viewing areaRequires more post processing

Field verification of dataTime consumingExpensiveMANDATORY

Office dataPaperDigital

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

COST vs. Sophistication

$

Sophistication

Data Collection

PAVEMENT MANAGEMENT

SYSTEMS

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

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

Defining Sections/Segments

The length or size of sections will determine volume of data to be collected

Large sections - less uniform Small sections –

– more data storage and – typically must be combined together in

project-level analysis Section requirements

Homogeneous Sections

Change in pavement type Change in pavement structure Change in traffic Geographical of political boundaries Boundary between previous construction Change in pavement condition

Homogeneous Sections

Geographic or man-made boundaries may offer or force section limits:

Rivers or streams City or township limits County lines Railroad grade crossings District, ward, or parish lines

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

Section Identification

Purpose – Create a unique identification for each section

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.

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

Route Designation

US 6 STH 144

STH 75

ST

H 75

Route

Direction

MP Start

MP End

EB NB

WB SB

Link Node System

US6-02-

STH144-01

STH75-01

STH75-02

US6-01-

US6-03-

Route

Direction

Node Names Limits

PAVEMENT HISTORYInitial 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.

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)

COSTS

AGENCY COSTS

P&E AND DESIGNCONSTRUCTIONPREVENTIVE AND ROUTINE MAINTENANCEREHABILITATION / RESURFACING / RECONSTRUCTION

SALVAGE

USER COSTS

DELAYFUEL / MAINTENANCE

Quality Control of Data

Integrity – Data Equality Accuracy - data values represent as close

as possible the actual measurement Validity - given value is correct based on a

reasonable range and field validation Security –

– data being stored are confidential – if the data are destroyed, backups must be

available so they can be restored

Choosing What’s Right for YOU

Questions?