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Evaluating The Service Life Of Thermoplastic Pavement Markings

Title: Evaluating The Service Life Of Thermoplastic Pavement Markings: Stochastic Approach.
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Name(s): Chimba, Deo, author
Kidando, Emmanuel, author
Onyango, Mbakisya, author
Type of Resource: text
Genre: Journal Article
Text
Journal Article
Date Issued: 2018-09-01
Physical Form: computer
online resource
Extent: 1 online resource
Language(s): English
Abstract/Description: The study applied the Markov chain (MC) model that uses a transition matrix to transmit the probability of monitored pavement markings being in one service life state then changing into another service life state over a time interval. The service life prediction by MC models were then compared with those from linear models, testing if there were any clear advantages of using one model over the other in terms of predicting longevity of the marking retroreflectivity. The retroreflectivity data were collected by monitoring the coefficient of dry retroreflective luminance for 2 years using a handheld retroreflectometer. Using the MC model, the study found that the pavement marking retroreflectivity (PMR) degradation follows an exponential curve trend whereby the degradation rates decrease as the time increases. Significant differences were found in the deterioration of the markings based on the colors (white or yellow) and line type (center, lane line, or edge line). White thermoplastic edge lines on two-lane roadways were found to have a better performance (low deterioration rates) compared with the same lines on four-lane highways. Based on the transition probability matrix (TPM), it was observed that retroreflectivity is in an excellent or good state for a short period of time(54% probability) but is in a fair or poor state for a longer time (92% probability), suggesting the trend has a higher degradation rate at the beginning and a lower rate near the failure state. Keeping the minimum failure states at 150 and 100 mcd/m(2)/lx for white and yellow markings, respectively, the service life of white markings was found to be approximately 4 years (49.5 months) and it was found to be about 2.4 years (29 months) for yellow markings. The MC model findings were compared with those obtained through linear regression, which showed that white thermoplastic pavement markings take approximately 3.5 years (42 months) to deteriorate to failure state level, while yellow thermoplastics take about 2.1 years (25 months). The study concluded that there is a clear difference between the prediction using MC models compared with linear models, with MC models being more cost effective in terms of maintenance and replacement scheduling due to a longer life prediction. (C) 2018 American Society of Civil Engineers.
Identifier: FSU_libsubv1_wos_000440541000005 (IID), 10.1061/JPEODX.0000055 (DOI)
Keywords: Markov chain, Monte Carlo, Paint, Pavement marking, Retroreflectivity, Thermoplastic
Publication Note: The publisher’s version of record is available at https://doi.org/10.1061/JPEODX.0000055
Persistent Link to This Record: http://purl.flvc.org/fsu/fd/FSU_libsubv1_wos_000440541000005
Owner Institution: FSU
Is Part Of: Journal of Transportation Engineering Part B-Pavements.
2573-5438
Issue: iss. 3, vol. 144

Choose the citation style.
Chimba, D., Kidando, E., & Onyango, M. (2018). Evaluating The Service Life Of Thermoplastic Pavement Markings: Stochastic Approach. Journal Of Transportation Engineering Part B-Pavements. Retrieved from http://purl.flvc.org/fsu/fd/FSU_libsubv1_wos_000440541000005