Automated Guardrail Inventory and Condition Evaluation

Ai, Chengbo; Hou, Qing; University of Massachusetts at Amherst

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ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.

i

Automated Guardrail Inventory and Condition Evaluation

2022-05-01
By Ai, Chengbo ; Hou, Qing

English

Details You May Also Like

Details:

Creators:

Ai, Chengbo ; Hou, Qing

Ai, Chengbo ; Hou, Qing Less -
Corporate Creators:

University of Massachusetts at Amherst
Contributors:

Boudreau, Neil
Corporate Contributors:

Massachusetts. Dept. of Transportation. Office of Transportation Planning ; Federal Highway Administration. Office of Planning

Massachusetts. Dept. of Transportation. Office of Transportation Planning ; Federal Highway Administration. Office of Planning Less -
Subject/TRT Terms:

[+]

Asset Management Automation Compliance Condition Condition Surveys Feasibility Analysis Guardrails Image Processing Inventory LiDAR MASH Upgrades Validation
Publication/ Report Number:

22-031
Resource Type:

Tech Report
Geographical Coverage:

Massachusetts ; United States

Massachusetts ; United States Less -
Edition:

Final Report – May 2022 [January 2021 - May 2022]
Corporate Publisher:

Massachusetts. Dept. of Transportation. Office of Transportation Planning
Abstract:

MassDOT actively works with FHWA on the Manual for Assessing Safety Hardware (MASH) implementation. It is critical to plan and manage MASH upgrades and integrate the guardrail asset within its asset management plan with a complete guardrail inventory. This study aims at developing and validating new processes using automated methods to identify and extract locations of in-service guardrails and evaluate condition and compliance using pilot-testing road sections. The detailed objectives include: 1) Developing an automated method for determining the presence of guardrails along the roadway and for extracting critical information, including georeferenced starting and ending points, terminal types, curb presence, lateral offset, and elevation; and 2) Developing an automated method for identifying typical conditional changes for guardrails, including face dent, end terminal damage/missing, guardrail support deficiency. The research team has also investigated the feasibility of identifying missing bolts and connection failures using image processing. The deliverables include a georeferenced guardrail inventory for the selected pilot-testing sections, integrating the in-service condition information.
Format:

PDF
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:df7a782a7166ad1893b2a7c16c9791f5ccc16145278ba59fffaf8cdc6cef1fb8
Download URL:

https://rosap.ntl.bts.gov/view/dot/63368/dot_63368_DS1.pdf
File Type:

[PDF-3.34 MB]