The rapid proliferation of connected vehicles and the increasing availability of their generated data present a transformative opportunity for infrastructure management, particularly in pavement condition evaluation. While traditional methods, such as 3D laser scanning, have been the industry standard, connected vehicle data offers a unique perspective with potential advantages regarding cost-effectiveness, coverage, and real-time insights. This presentation aims to compare pavement condition evaluation results obtained from connected vehicle data and 3D laser scanning. By examining the similarities and differences between these two methods, we seek to assess the potential of connected vehicle data as a viable alternative or complement to traditional approaches. The study will focus on a specific geographic region and compare pavement condition assessments derived from connected vehicle data provided by a leading global crowd-sourced infrastructure data provider. This data will be contrasted with ground truth data collected through 3D laser scanning, a well-established method for capturing detailed pavement surface information. Key aspects of the comparison will include pavement distress detection, spatial resolution, and cost-effectiveness. By conducting a rigorous comparison, this presentation will provide valuable insights into the strengths and limitations of connected vehicle data for pavement condition evaluation. “After this session, participants will be better able to:
• Use connected vehicle data as a tool for pavement evaluation.
• Compare pavement data from connected vehicle data and 3D laser scanning.
• Integrate connected vehicle data into pavement management.”
Contributor/Source
Nathan Kebede-Associate Vice President
Proficiency Levels
Introductory
Focuses on a general or broad overview of the topic, awareness of basic factual recall. Limited experience of the subject matter is necessary to understand content areas.
Applied
Focuses on practical implementation of technical steps or strategies, some prior knowledge and experience of the topic is necessary.
Advanced
Mastery of basic concepts associated with an area has been obtained. Focuses on understanding nuances, advanced concepts, and intricacies with implementation within knowledge area. Strong understanding of how the concept impacts other factors or areas of operations.
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