Synthesis on Advancing Technology in Asset Data Collection

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Synthesis on Advancing Technology in Asset Data Collection


Funding

$50,000

Research Period

6-12 months

Description

Emerging technologies hold the promise of transforming asset data collection for transportation asset management. Applications of these technologies include the use of drones for inspections, LiDAR field data collection, continuous monitoring of real-time sensor data, and more. Research is needed to address the adoption and practical application of these technologies and the rapid pace of technological advancement.

Emerging technologies hold the promise of transforming asset data collection for transportation asset management such as the use of drones for inspections, LiDAR field data collection, continuous monitoring of real-time sensor data, and more. While the technology has been transforming, MAP-21 and the Fast Act jump started at many agencies in attaining an inventory of infrastructure assets and transportation data. At the same time, accessibility and affordability to collect high volumes of asset inventory data, such as LiDAR point cloud data, present the problem of how agencies can visualize and manage such large amounts of data and integrate the many layers for each transportation asset management plan. Now that the need for such data is federally recognized, further research is needed to understand what the latest technologies for asset analysis can offer an agency as well as how frequently that information needs to be generated.

Photo imagery

Cell phones / Collector Apps

Vehicle, AAV, or drone

More specific to TAM and data collection than synthesis 508

Includes an aspect of data management to prepare data for use in appropriate TAM systems.


Literature Search Summary

Synthesis 508 - Data Governance


Objectives

Research is needed in the following areas:
● Address the adoption and practical application of these technologies and the rapid pace of technological advancement.
● What level of extraction detail and frequency interval is needed to support TAM at both the state and local levels and how can the condition assessment be applied to the performance measures of both pavement and non-pavement assets?
● Further investigate what tools are capable of visualizing asset extraction layers, as well as presenting such data to all stakeholders in powerful GIS formats with standardized TAM graphics for universal interpretation.


Urgency and Potential Benefits

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