Raised Pavement Marker (RPM) Assessment Using Highway Speed Mobile Retroreflectivity Technology

Oracheff, Alexander; Shahin, Ali; Fletcher, James H.; Lear, William

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Raised Pavement Marker (RPM) Assessment Using Highway Speed Mobile Retroreflectivity Technology

2021-04-01
By Oracheff, Alexander ; Shahin, Ali ; Fletcher, James H.

File Language:

English

Details

Creators:

Oracheff, Alexander ; Shahin, Ali ; Fletcher, James H. ; Lear, William
Corporate Creators:

University of North Florida. Mechanical Engineering ; University of Florida (Gainesville). Mechanical & Aerospace Engineering Department
Corporate Contributors:

Florida. Department of Transportation
Subject/TRT Terms:
Resource Type:

Tech Report
Geographical Coverage:

Florida ; United States
Edition:

Final Report, March 2019 – April 2021
Contracting Officer:

Holzschuher, Charles
Corporate Publisher:

Florida. Department of Transportation
Abstract:

The focus of this study was to configure a Laserlux G7 mobile retroreflectivity unit (MRU) to accurately and repeatably detect and measure the retroreflectivity of in-service raised pavement markers (RPMs). At this time, the Florida Department of Transportation (FDOT) assesses the quality of in-service RPMs as part of a visual inspection. Currently, the FDOT State Materials Office collects 25,000 lane miles of line-stripe pavement marking (PM) retroreflectivity data each year using MRUs. Since these MRUs were designed to measure PMs in units of RL (mcd/m2/lux), a primary objective of this study was to derive regression equations that correlate the industry standard units for RPMs RI (mcd/lux) and the RL values collected by the MRU. An additional complexity is that the MRU utilizes a 30-meter measurement geometry related to RL, and RI is calculated at a 220-meter measurement geometry.
Format:

PDF
Funding:

BE715
Download URL:

https://rosap.ntl.bts.gov/view/dot/61921/dot_61921_DS1.pdf
File Type:

[PDF - 4.86 MB]
Collection(s):

US Transportation Collection
Main Document Checksum:

urn:sha256:a8700dd34dc9f97efd4edb0c9adba4c88fed70ef9c116ffe9805a2c4c3c41de6

File Language:

English

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