Pavement Management Systems

Tool for Keeping Pavement Networks in a

State of Good Repair

Dr. Nick Vitillo

In a country, where the majority of the traveling public and companies use local, county, state and Interstate roads for their daily commute and goods movement, preserving and maintaining these networks in a State of Good Repair is critical to providing efficient, reliable, and safe service and economic prosperity.

STATE OF GOOD REPAIR

State of Good Repair is a dynamic target based on the Level Of Service (LOS) that the user expects or demands and is willing to pay for in the form of taxes or tolls. The LOS may be based on the condition (ride quality and distresses) of the pavement, reliability of the travel time, safety, and cost.

STATE OF GOOD REPAIR

STATE OF GOOD REPAIR needs to be defined by the agencies. The level that defines “GOOD” can incorporate condition, safety, reliability, and cost.

Based on this definition, the agency can estimate

• Where they are now • Set the timeframe for achieving the desired SGR level • Determine the funds necessary to achieving the desired level in the given timeframe

Improvements in materials, technology, and knowledge can accelerate the rate at which we reach the STATE OF GOOD REPAIR . Example: Materials – Improvements in mix design and additives have provided longer lasting pavements Design – New design procedures have optimized pavement structures Technology - (Computer advancements and reduction in costs) improve design, construction, data collection, testing, and analysis of Preservation/Rehabilitation/Reconstruction treatments.

STATE OF GOOD REPAIR

2009 SASHTO – Biloxi, MS

Less Than 100 Years Ago…

Today Tomorrow?

Pavement Materials Classification, quality assurance testing (specifications), material design

Pavement Design Design of Structural layers for New Pavements and Pavement Rehabilitation Assess in-situ pavement material properties and layer thickness

Pavement Construction

Construction practices of New Pavements and Pavement Rehabilitation including specification development and quality assurance

Pavement Management

Monitoring Post-construction condition, timing preventive preservation and rehabilitation treatments, and economic analysis of alternatives

Pavement Research Research to improve all of the above

A Pavement Management System (PMS) is designed to provide objective information and useful data for analysis so that road managers can make more consistent, cost-effective, and defensible decisions related to the preservation of a pavement network. While a PMS cannot make final decisions, it can provide the basis for an informed understanding of the possible consequences of alternative decisions. A PMS does NOT make decisions, Managers DO!

PAVEMENT MANAGEMENT SYSTEM Overview

Pavements deteriorate over time due to traffic/use, environment, and aging Poor road conditions increase vehicle owner costs $325–$700 annually (vehicle damage, tire wear, etc.)

National average is $333 per motorist totaling $67 billion per year

Poor road conditions are a contributing factor in many roadway accidents

According to some studies as much as 30% of crashes each year)

Good roads cost less… if maintained at a reasonable level of service if they receive proper pavement preservation

Importance of Pavement Management

Preserving roads in good condition is key to maintaining the health of the State’s Pavement Networks.

Rutgers University - CAIT

Sophistication

$

Data Collection

Analyses

Equipment

Maintenance

PAVEMENT MANAGEMENT

SYSTEMS

Choosing What’s Right for YOU Choosing What’s Right for YOU

PMS SUBSYSTEMS -PMS DATA

Inventory Condition - Pavement Evaluation History – Initial, Pavement Preservation, Routine Maintenance, Rehabilitation, and Reconstruction Traffic Treatment Costs

-MODELING - ANALYSIS

Serviceability Rating Performance Predictions Economic Analyses-Budgeting / Programming

-DATA MANAGEMENT Relational Databases Report Generation

PMS Subsystems

PAVEMENT CONDITION EVALUATION

PAVEMENT RIDE QUALITY SURFACE DISTRESS RUTTING SKID RESISTANCE

PMS Data Collection

Ride Quality, Surface Distress, Rutting, Skid Resistance

Evaluate current condition of pavementnetwork

Determine portion of the Network that requires Preservation, Rehabilitation, and Reconstruction

Estimate the rate of deterioration Project future conditions to determine future

maintenance & rehabilitation needs Determine future cost of repairs

Need for Annual Condition Surveys

Rutgers University - CAIT

Pavement Condition Survey Equipment

Profiler roughness, distress,

rutting

FWD

Skid Trailer Pavement

friction

Structural Capacity

GPR

Safety Condition

Visual Windshield

DATA COLLECTION

CONTINUOUS - WINDSHIELD SURVEY/RATER KEYBOARD, 3D IMAGING AND AUTOMATED CRACK DETECTION

Pavement Condition Evaluation

NJDOT Version

Distress Identification Manual for the Long-Term Pavement Performance Program

Standardization

SURFACE DISTRESS BITUMINOUS/COMPOSITE PAVEMENTS

* * * * *

*

* Alligator Cracking

Longitudinal Cracking

Transverse Cracking

Rutting

Patch Condition

Pothole

Pavement Condition Evaluations

ROAD QUALITY - USER PERCEPTION OF SMOOTHNESS

Pavement Condition Evaluations

SAFETY - SKID RESISTANCE, RUTTING, GEOMETRY, SIGHT DISTANCE

Pavement Performance Models TO PREDICT FUTURE CONDITON BASED ON PAST PERFORMANCE

0

20

40

60

80

100

2000 2002 2004 2006 2008 2010 2012 2014 2016 2018 2020

Dis

tres

s Ind

ex

Years

Prediction Model

Default Distress Model

Triggers

Current TimeDo Nothing

Pavement Preservation

Rehabilitaton

Reconstruction

Time

Cond

ition

Pavement Rehabilitation

Pavement Preservation

Pavement Reconstruction

Do Nothing

Deterioration over time and cost to repair

Effect of Treatment Timing on Costs

$20.00/sq yd

< $2.00/sq yd

$80.00/sq yd

New

Good

Fair

Poor

V. Poor

Rutgers University - CAIT

Multi-Year Prioritization

Treatment

Reset

Age or Traffic Loads

Pave

men

t C

ondi

tion

Inde

x Performance Prediction Model

Benefit or Effectiveness

(Area under the curve)

Predicted Performance

Trigger Limit

Condition

Increase

Life

Extension

0 10 20 30 40 50 60 70 80 90

100

0 1 2 3 4 5 6 7 8 9 10

Con

ditio

n

Age

Rutgers University - CAIT

Policy Decisions can be based on the average projected condition at given budget levels for a single asset or for the entire network Network Performance Budget Scenarios

Do nothing Spend $100 million Spend $300 million

Example Network Performance Scenario

Good

Poor

Current Condition

When

How Much

SGR Level

ECONOMIC ANALYSES

$0.00

$50,000,000.00

$100,000,000.00

$150,000,000.00

$200,000,000.00

$250,000,000.00

$300,000,000.00

$350,000,000.00

2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023

Preservation

Rehabilitation

Tables

REPORTING TOOLS

Annual Construction Program

Overall Network Condition

Section Year Cost

32 2013 $100,000

47 2015 $237,999

GIS Maps

Graphs

0102030405060708090

1st Qtr 2nd Qtr 3rd Qtr 4th Qtr

Questions?

cait.rutgers.edu/prp