Location
Purdue Memorial Union
Session Title
Student Poster Session
Event Description/Abstract
The collection of sufficient, accurate, and consistent pavement condition data is essential to an effective pavement management system. Condition data drive a variety of pavement management tasks such as:
• Predicting future pavement performance
• Identifying current and future maintenance and rehabilitation needs
• Estimating budget needs and requirements
• Reporting to decision makers
• Selecting appropriate pavement management tools
Pavement condition data are represented at either the distress level or overall condition level. Common indices representing overall pavement condition include:
• Pavement Condition Index (PCI)
• Present Serviceability Index (PSI)
• International Roughness Index (IRI)
• Pavement Surface and Evaluation Rating (PASER)
Factors Affecting Pavement Surface and Evaluation Rating Accuracy and Variability
Purdue Memorial Union
The collection of sufficient, accurate, and consistent pavement condition data is essential to an effective pavement management system. Condition data drive a variety of pavement management tasks such as:
• Predicting future pavement performance
• Identifying current and future maintenance and rehabilitation needs
• Estimating budget needs and requirements
• Reporting to decision makers
• Selecting appropriate pavement management tools
Pavement condition data are represented at either the distress level or overall condition level. Common indices representing overall pavement condition include:
• Pavement Condition Index (PCI)
• Present Serviceability Index (PSI)
• International Roughness Index (IRI)
• Pavement Surface and Evaluation Rating (PASER)
