TRAINING.

Developing Performance Models for Pavement Management

Online /
Feb 4, 2022 /
Course Code: 0204-WEB22

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  • Overview
  • Instructor

Overview

After Participating in this course, you will be able to:

  • Understand the key performance modelling input data
  • Recognize potential sources of error
  • Understand available statistical tools to develop performance models
  • Describe methods used to update and improve performance models for pavements

Description

Roadway owners across North America have collectively constructed trillions of dollars of roadway infrastructure including pavements, bridges, safety appurtenances, drainage structures, etc. Our focus over the past 30 years or so has changed from the construction of new transportation infrastructure to maintenance and rehabilitation of existing facilities. In order to assist in “managing” the infrastructure, agencies have developed processes and procedures such as pavement management systems. 

A pavement management system uses asset condition data to monitor the rate of deterioration of their pavement infrastructure. Deterioration models are typically developed for pavement surface distress and some agencies incorporate pavement smoothness, rut depth, surface friction and an indication of structural capacity in the overall condition index which typically ranges from 0 (failed) to 100 (excellent).

The process for the development of deterioration models typically includes the segregation of pavement sections by one or more of the following elements:

  • Roadway classification
  • Pavement surface type (rigid, flexible, chip seal, etc.)
  • New construction or rehabilitation
  • Pavement base/subbase type (unbound granular, stabilized, etc.)
  • Age since construction or last rehabilitation
  • Subgrade type
  • Climate (wet freeze, wet no freeze, dry freeze, dry no freeze, etc.)
  • Traffic level
  • Other relevant local factors that may impact pavement performance

One of the key factors of the items outlined above is age since construction or last rehabilitation. Grouped sections are then analyzed by age and condition to develop performance prediction models. These models provide an indication of asset performance and establish target levels of service for maintenance and rehabilitation activity and timing as well as funding needs. Given the variability of performance of pavement assets, it can be very difficult to develop models that provide accurate and repeatable results that can easily be understood by all stakeholders. 

Course Outline

This course covers:

  • Pavement
  • Overview of the importance and use of performance models
  • Data input needs evaluation (what to collect and why)
  • Data quality and reliability
  • Types of performance models
  • Examples of performance model development
  • Assessment methods to improve performance models

Who Should Attend?

  • Civil engineers, statisticians and data managers responsible for the collection, processing and use of pavement performance data
  • Agencies and other owners of highway, municipal and private sector pavement infrastructure
  • Operations personnel responsible for the maintenance and rehabilitation of pavements
Time: 12:30 PM - 1:30 PM Eastern Time


Please note: You can check other time zones here.

System Requirements

PC-based attendees
OS: Windows 7, 8, 10 or newer

Browser:
IE 11 or later, Edge 12 or later, Firefox 27 or later, Chrome 30 or later

Macintosh based attendees
OS: Mac OS X with MacOS 10.7 or later

Browser:
Safari 7+, Firefox 27+, Chrome 30+

iOS
OS: iOS 8 or newer

Android
OS: Android 4.0 or higher

Instructor

David Hein, P.Eng

David Hein, P.Eng. is a consulting Civil Engineer with over 35 years of experience in the design, evaluation and management of transportation infrastructure.  He recently retired from Applied Research Associates, Inc. of Toronto, Ontario.  He is the past president of the American Society of Civil Engineers Transportation and Development Institute (ASCE T&DI), chair of the Workforce Development Council and chair of 5 engineering standards committees. 

He is a long term member of the Transportation Association of Canada (TAC), Past-Chair of the pavements committee and member of the Workforce Development Council and past members of the Transportation Research Board pavement management, pavement maintenance and pavement preservation committees.  He has represented Canada on the World Road Association (WRA) pavements and asset management committees since 2002 and is currently the Vice-Chair of the Canadian National Committee to the WRA.  He also recently stepped down after 10 years as Executive Director of the Falling Weight Deflectometer User Group. 

He has been involved in numerous national and international research, evaluation and asset management projects for Federal, State, Provincial and Municipal agencies and many of the public/private/ partnership highway construction projects across Canada and the United States.




The Engineering Institute of Canada AIBC Approved   
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Fee & Credits

$75 + taxes

  • 0.1 Continuing Education Units (CEUs)
  • 1 Professional Development Hours (PDHs)
  • ECAA Annual Professional Development Points
  • This course has been approved by the AIBC for 1 Non-Core Learning Units
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