摘要: |
There has been increasing interest and use of unmanned aerial systems (UAS) in the past 10 years. One application of considerable interest to transportation agencies and their private sector partners is supplementing highway bridge inspections. There is particular interest in performing safety inspections of bridge elements that are typically costly for bridge owners. By using UAS, the bridge superstructure and substructure can be assessed without requiring closing lanes of traffic or exposing inspectors to traffic. For bridges over rivers or other water bodies, UAS can collect data underneath or along the fascia without the need to close traffic lanes to use a snooper truck or similar system for inspection of hard-to-access bridge elements.
However, research has not yet focused on the ability of UAS technologies to support collection of element-level bridge inspection data in accordance with the AASHTO Manual for Bridge Element Inspection (MBEI) methodology and format. There is a need to provide guidelines for state departments of transportation (DOTs) to select the appropriate UAS technologies for element-level bridge inspection. This research will help foster innovation in bridge inspection and safety.
The objective of this research is to develop AASHTO guidelines to assist state DOTs with using UAS technologies for inspection and assessment of bridge element conditions. At the minimum, the research team shall:
(1) develop a selection process of appropriate UAS technologies to supplement conventional inspection methods for data collection and assessment of the overall bridge condition and bridge element-level defects in accordance with the MBEI methodology and format;
(2) develop UAS technologies operator and bridge inspection team qualifications;
(3) compare UAS technologies and conventional bridge inspection methods in respect to time, cost, quality, data consistency, traffic impact, and safety; and
(4) develop a standalone roadmap including the requirements for implementing the UAS technologies by state DOTs including IT infrastructure and security, data retention policy, organization structure and workflow, and training. |