Details:

Creators:
Meegoda, Jay N.
Corporate Creators:
New Jersey Institute of Technology. Dept. of Civil Engineering
Corporate Contributors:
New Jersey. Dept. of Transportation. Division of Research and Technology ; United States. Federal Highway Administration
New Jersey. Dept. of Transportation. Division of Research and Technology ; United States. Federal Highway Administration Less -
Subject/TRT Terms:
[+]
Pavements--Skid Resistance--New Jersey--Data Processing
Pavements--Skid Resistance--Testing
Pavement Management Systems
Skid Resistance Tests

Publication/ Report Number:
FHWA-NJ-2009-020
Resource Type:
Tech Report
Geographical Coverage:
New Jersey
OCLC Number:
657329026
Edition:
Final report; Jan. 2008-Dec. 2009.
Corporate Publisher:
New Jersey. Dept. of Transportation
NTL Classification:
NTL-HIGHWAY/ROAD TRANSPORTATION-Pavement Management and Performance ; NTL-HIGHWAY/ROAD TRANSPORTATION-HIGHWAY/ROAD TRANSPORTATION ;
Abstract:
In this research, a correlation between the SN40R collected by locked wheel skid tester and the

texture data or Mean Profile Depth (MPD) collected by a vehicle mounted laser operating at highway

speeds was developed. The proposed correlation between SN40R and MPD is positive for MPD values

less than 0.75 mm to reach a peak SN40R value, then it becomes a negative correlation of decreasing

SN40R values with increase in MPD values until the MPD values reached 1.15 mm, which was the

maximum value measured in this research. However, the slope of the negative correlation becomes

smaller with increasing MPD. It was also observed that there is significant data scatter for the MPD

value of 0.8mm. The test result showed a similar trend for old asphalt pavements, but with lower SN40R

values due to polishing of pavement micro-texture by traffic. Based on the comparison between old and

new asphalt pavements, reduction coefficients, which is a functions of road treatment time and traffic

volume was developed to account for the traffic polishing effect on micro-texture of pavement.

This report also describes two field tests performed to validate the above correlation and

development of an interface for the PMS to upload the predicted skid data from texture data obtained

from high speed laser. During the field tests, MPD values and SN40R were collected by a vehicle

mounted laser and a locked wheel skid trailer, respectively. Then the comparison between predicted

SN40R by using the developed correlation between SN40R and MPD and measured SN40R are

conducted. For the prediction of SN40R, reduction coefficient, which is a function of traffic volume and

pavement age (treated or refurnished age), were used to take into account the polishing effect traffic on

micro-texture of the pavements. The results show that the measured and predicted SN40R values

match each other very well with the maximum variance between them less than 5. Based on the

validated correlation between MPD and SN40R, an interface for the PMS was developed to extract and

process MPD data collected by vehicle mounted laser and report predicted skid number to NJDOT

pavement management system.


Format:
PDF
Collection(s):
US Transportation Collection
Main Document Checksum:
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urn:sha256:bc5b9be701543360d86e16b9bde3c9d61bc67243b4ffa613d405b8beeab6e96f
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