Introduction
There exist many useful and efficient surveying methods to detect distressed pavement.
Most methods perform pavement surface distress detection automatically. However, those
methods do not manage and integrate the detected results along with the documentation that
include geographical components, such as maps indicating the roads and transportation
networks. Traditional man-made inspection and documentation methods rely on human visual
capability which causes this pavement survey work to be cumbersome and inefficient.
Furthermore, documents created from the surveys are hard to retrieve and inconvenient to
review by Department of Transportation (DOT) Agencies as well as transportation engineers.
With these concerns, this study is underway to develop the Automated Management of
Pavement Inspection System (AMPIS) that will avoid these problems and allow automatic
and systematic pavement inspections. AMPIS integrates video image processing for surface
crack detection within a Geographic Information System (GIS) framework using ArcGIS
software.
In this study, an existing pavement management system and several available
surveying/evaluation methods are reinvestigated. A more cost-effective method, AMPIS,
which employs video imagery coupled with an information technology-based GIS platform, is
proposed. A new automated management tool with a graphical user interface is also
described.
In the early 1980's, the Department of the Army investigated a pavement management
system (PMS) that could be applied in the field for inspection and management of airport
runways and highway and road surfaces. The system was designed to inspect pavement
damage, rate the degree of damage, and manage the documents created from the surveys. The
documents created by the system provide important information for short and long-term
maintenance and repair planning, especially for critical arterials such as military airport
runways and transportation networks that transport personnel and deliver civilian and military
supplies. The Department of the Army’s PMS manual provides guidelines that led the authors
to developing the modern AMPIS system.
Recently, PMS techniques have been revisited by civil and transportation engineers.
Their studies may lead to emergence of commercial highway pavement survey packages that
provide efficient and effective maintenance solutions for inspectors and Department of
Chapter 1
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Automated Management of Pavement Inspection System 4
Transportation agencies. This study revisits previous studies on surface distress detection. A
new solution using AMPIS is presented to deal with pavement distress problems. It will
provide automated acquisition, analysis and management of the data acquired by means of
digital imaging of pavement conditions.
1.1 AMPIS blueprint and components
In 1982, the Department of the Army produced the “Technical Manual of Pavement
Maintenance Management” where the industry standard for PMS is introduced first. This
technical manual highlighted interesting study areas on pavement condition inspection and
documentation. In the manual, PMS is divided into five major components (Figure 1):
network identification, pavement condition inspection, maintenance and repair (M&R)
determination, economic analysis of M&R alternatives, and data management. Each
component is unique in the effort to manage pavement inspection and documentation. In
AMPIS, these PMS components are reformatted to take advantage of the geographical
information system (GIS). The chart of AMPIS components and their relationship to the GIS
database is shown in Figure 2.
5
Data
Management
5
Data
Management
4
Economic
Analysis
4
Economic
Analysis
3
Maintenance
& Repair
Planning
3
Maintenance
& Repair
Planning
1
Network Identification
1
Network Identification
DataBase
2
Pavement Condition
Inspection
2
Pavement Condition
Inspection
Figure 1:Components of PMS in the US Army Technical Manual, 1982
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Chapter 1 - Introduction 5
1.1.1 Network identification
The mission of network identification is to divide an entire network system into
manageable segments and identify the coordinates of each segment in preparation for the
distress survey. Usually this task is done within the office before the inspection process
begins. In the past, this task was time consuming and required much manpower. Prior to using
GIS, transportation engineers and road distress inspectors struggled with the collective
process of carrying maps, retrieving data, preparing for inspections, maintaining map records,
and updating documentation. Using GIS software this work is minimized and many tasks can
be solved automatically. The network identification process can now be simplified and is
easier to manage using GIS.
Automatic
distress
detection
Personalized
Distress Rating
Previous
surveys results
comparisonMosaicking
Images
preprocessing
GPS Data
Frame
Grabbing
5 - Data
Management
5 - Data
anagement
4 - Economic
Analysis
4 - Economic
Analysis
3 - Maintenance
& Repair
Planning
3 - Maintenance
& Repair
Planning
1 - Network Identification1 - Network Identification
Acquisition Elaboration
2 - Pavement Condition
Inspection
Layer 5
Layer 4
Layer 3
Layer 2
Layer 1
Arc-GIS
Figure 2: AMPIS blueprint; components and their relationships
1.1.2 Pavement condition inspection and distress rating
The most important component in PMS is the pavement condition survey that includes
distress inspection in the field and the rating procedures for archiving. Inspectors have to
perform in-situ inspections and record information based on the officially approved rating
procedures. The results made from this inspection process are documented as an important
reference for the maintenance and repair (M&R) decisions. Department of Transportation
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Automated Management of Pavement Inspection System 6
agencies must look up these documents and develop new plans for M&R projects
accordingly.
The US Army defined the pavement condition index, PCI, and produced evaluation
tables that field inspectors could use to assess and express quantitatively the local pavement
condition. In the PCI, pavement condition is related to factors such as structural integrity,
structural capacity, roughness, skid resistance, and rate of distress. These factors are
quantified in the evaluation table that the inspectors use (Figure 3). Inspectors are fully
responsible to evaluate the field damage severity. Mostly, inspectors use their own judgment
to assess the distress condition. The manpower required for direct measurement of all the PCI
factors has been too expensive and the processes have been time consuming.
These problems are significantly alleviated using AMPIS since the pavement condition
survey relies on the recognition of image patterns recorded by the digital image device.
Evaluation of PCI rating is dependent on the visualization from the analytical results through
image processing. Rating procedures are also simplified. The results are free from the
human’s errors and possible idiosyncrasies. Correlation analysis can then be performed as
they are compared with the results archived in the past.
Figure 3: PCI evaluation procedure in the USA Army Technical Manual, 1982
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Chapter 1 - Introduction 7
1.1.3 Maintenance and repair (M&R) decision
Maintenance and repair guidelines are based on the PCI evaluation process and the
factors used to design pavement loading-and-carrying capacity. PCI is an important index for
maintenance and repair determination in which the overall conditions of the observed road
surface are evaluated. The evaluated results from the PCI process are entered into PMS so that
managers can be informed whether or not a road surface condition is below the acceptable
score. The M&R planners also need to review the information in order to create new M&R
projects or rehabilitation tasks.
1.1.4 Economic analysis of M&R alternatives
Selecting the best M&R plan often requires a cost-benefit analysis with respect to
practical alternative plans taking socio-economic analysis into consideration. M&R plans
impact the long-term service quality and durable life of repaired and maintained road surfaces
of highway network. The procedure for determining the present economic value of each M&R
alternative involves an analysis of discount and inflation rates, an estimation of annual costs
for maintenance and repair charges, and predicting the additional expenses that will develop
dur ing the pavement service life cycle.
AMPIS serves as a database for socio-economic experts to perform economic analyses
of M&R alternatives, providing useful attribute tables and itemized data, such as the lengths,
lanes and widths of highways, the cost per highway section, for utilizing socio-economic
analyses.
1.1.5 Data Management
Data collected during the PMS components previously defined, must be stored and
managed in a database so that it can be conveniently retrieved, reviewed and updated.
Traditional documentation methods (before computers were available) must be upgraded to
take advantage of computers that have information-based software capable of managing large
databases. These systems must allow users to analyze data and visualize results generated by
the PMS. AMPIS readily incorporates tabular and spatial data (maps, raster data and
photographic images) acquired during surface distress detection projects by using the database
capabilities of ArcGIS and Visual Basic (VBA) programming.
2.1-What is a
PMS?2.1-What is a PMS?
2.2-How PMS
works2.2-How PMS works
2.3-Example of
Manual PMS2.3-Example of Manual PMS
2.4-Example of
Automatic PMS2.4-Example of Automatic PMS
Pavement
Management
System
Chapter 2
2.5-PMS in the
world2.5-PMS in the world
2 - Pavement
Management
System
2 - Pavement
Management
System
3 – Pavement
Distress
3 – Pavement
Distress
4 - GPS4 - GPS
5 - Image
Acquisition
5 - Image
Acquisition
6 - Image
Processing
6 - Image
Processing
7 - Developed
System7 - Developed System
8 - Case
Study
8 - Case
Study
9 - Conclusion9 - Conclusion
1 -
Introduction
1 -
Introduction
10 -
Appendices
10 -
Appendices
Pavement Management System (PMS)
PMS: application software system consisting of analysis method for processing
pavement condition and physical inventory data, automated project analysis, network
analysis, and strategy analysis.
The definition, from the paper “Role of Pavement Management System Analysis in
Preservation Program Development”, suggests what is a PMS and what it does. Such a sharp
definition hides a huge reality of different methods, algorithms and standards to fulfill the
needing of road agencies of every country of the world.
2.1. What is a Pavement Management System?
The American Public Works Association (APWA) defines a pavement management
system (PMS) “a systematic method for routinely collecting, storing, and retrieving the kind
of decision-making information needed (about pavements) to make maximum use of limited
maintenance (and construction) dollars.”
It is also a set of tools or computer routines for quickly using the information and
making the calculations necessary to arrive at these decisions. Pavement management is not
an end product in itself, but rather an additional tool to help engineers, budget directors,
maintenance managers, and others to do their jobs better. In all cases, professional judgment
is enhanced, not replaced by a PMS.
Through a systematic analysis of pavement life cycles, a PMS can determine the most
appropriate time to rehabilitate pavement, what are the most cost-effective methods, and how
many money it will take to maintain a roadway system at a desirable conditio n level. All
agencies manage their pavements in some way; they are already using some level of
pavement management. A formalized PMS is not something entirely new but an improvement
on an agency’s existing practices. It aids, not replaces, what a jurisdiction is already doing.
One of the first published document about the Pavement Management System is the
Technical Manual of Pavement Maintenance Management of the department of U.S.Army.
This document has been published in 1982 and it contains a detailed description of every part
of PMS. The system has been called PAVER and it represent one of the first PMS available to
perform a complete management of asphalt or concrete surfaced roads, streets, parking lots,
and hardstands. In every PMS software on sale is possible to recognize the subdivision in
Chapter 2