Nebraska data collection.

Details

• Creators:
  Rami, Keyvan Zare ; Kim, Yong-Rak
• Corporate Creators:
  University of Nebraska--Lincoln. Dept. of Civil Engineering
• Corporate Contributors:
  United States. Federal Highway Administration ; Nebraska. Dept. of Roads ; United States. Department of Transportation. Federal Transit Administration
• Subject/TRT Terms:
  • Automatic data collection systems
  • Data quality
  • Pavement management systems
  • Pavement performance
  • Pavement distress
  • Regression analysis
  • Condition surveys
  • Evaluation
• Publication/ Report Number:
  SPR-P1(15)MPMC05
• Resource Type:
  Tech Report
• Geographical Coverage:
  Nebraska
• Corporate Publisher:
  Nebraska Transportation Center
• Abstract:
  Automated pavement performance data collection is a method that uses advanced technology to collect detailed road surface ; distress information at traffic speed. Agencies are driven to use automated survey techniques to enhance or replace their ; current manual distress survey because of the advantages of objective measurements, safety benefits, and reduced ; measurement time. As agencies move toward the transition to fully automated data collection methods, there are common ; concerns regarding how the output of the new method will match the current manual survey ratings and how they will be ; adopted into the existing Pavement Management System (PMS). This study evaluates the newly implemented automated ; distress survey technique and its implementation into the Nebraska Pavement Management System (NPMS). To meet the ; objectives, a user-friendly program was developed to convert the automated distress ratings into the current manual distress ; ratings format. Then, a data set that includes more than 7,000 miles of distress data collected by the automated method was ; converted to the manual data format and compared to the most recent manual rating data of those sections to assess the ; agreement between the two data formats after the conversion process. The results show that the automated pavement survey ; slightly overrates bituminous pavement distresses with only a few distress types that could not be properly detected. Finally, ; a regression analysis of a core pavement performance indicator, NSI, was conducted to examine how the new automated ; performance measurement system will ultimately affect NPMS decisions if implemented into Nebraska’s pavement ; management system.
  More +
• Format:
  PDF
• Funding:
  26-1121-4022-001
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/29678/dot_29678_DS1.pdf
• File Type:
  [PDF - 3.89 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:abc6b934ca4e0ba4bac918f1918aab03b1f0bdb714d75f612f13a9e09d3d5a31ba37b269bfa253d3751b02b0b2d065493332dc2141d0953b62f00ce33076e690