inventory and history. instructional objectives n types of inventory and historical data n different...
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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?