Most existing models for prediction of pavement marking retroreflectivity have been developed from data collected in locations with similar weather conditions; therefore, the effect of different weather conditions, such as winter weather events, has not been extensively studied. This study develops degradation models that can predict retroreflectivity of durable pavement marking materials under various winter weather conditions. Piecewise multiple linear models are proposed to explicitly account for the effect of winter weather events in this study. In comparisons of the proposed models with conventional multiple linear models (MLMs) developed from the same set of data, the proposed models outperformed the MLMs, and the overall root-mean-square error improved from 204.6 mcd/m2/lux for MLMs to 106.5 mcd/m2/lux for piecewise MLMs. The proposed models also show robust and consistent results in predicting retroreflectivity of different materials in different states. The results indicate that the proposed method can be adopted by various states and regions for comprehensive retroreflectivity prediction under various weather conditions.
Get full access to this article
View all access options for this article.
References
1.
Manual on Uniform Traffic Control Devices for Streets and Highways. FHWA, U.S. Department of Transportation, 2009.
2.
AbboudN., and BowmanB. L.. Cost- and Longevity-Based Scheduling of Paint and Thermoplastic Striping. In Transportation Research Record: Journal of the Transportation Research Board, No. 1794, Transportation Research Board of the National Academies, Washington, D.C., 2002, pp. 55–62.
3.
LeeJ. T., MaleckT. L., and TaylorW. C.. Pavement Marking Material Evolution Study in Michigan. ITE Journal, Vol. 69, No. 7, 1999, pp. 44–51.
4.
MigletzJ., GrahamJ. L., HarwoodD. W., and BauerK.. Service Life of Durable Pavement Markings. In Transportation Research Record: Journal of the Transportation Research Board, No. 1749, Transportation Research Board of the National Academies, Washington, D.C., 2001, pp. 13–21.
5.
AndradyA. L.NCHRP Report 392: Pavement Marking Materials: Assessing Environment-Friendly Performance. TRB, National Research Council, Washington, D.C., 1997.
6.
BaharG., MasliahM., ErwinT., TanE., and HauerE.. NCHRP Web-Only Document 92: Pavement Marking Materials and Markers: Real-World Relationship Between Retroreflectivity and Safety Over Time. http://onlinepubs.trb.org/onlinepubs/nchrp/nchrp_webdoc_92.pdf. Accessed July 3, 2015.
7.
OzelimL., and TurochyR. E.. Modeling Retroreflectivity Performance of Thermoplastic Pavement Markings in Alabama. Journal of Transportation Engineering, Vol. 140, No. 6, 2014.
8.
SitzabeeW. E., WhiteE. D., and DowlingA. W.. Degradation Modeling of Polyurea Pavement Markings. Public Works Management and Policy, Vol. 18, No. 2, 2012, pp. 185–199.
9.
MullD. M., and SitzabeeW. E.. Paint Pavement Marking Performance Prediction Model. Journal of Transportation Engineering, Vol. 138, No. 5, 2012, pp. 618–624.
10.
SitzabeeW. E., HummerJ. E., and RasdorfW.. Pavement Marking Degradation Modeling and Analysis. Journal of Infrastructure Systems, Vol. 15, No. 3, 2009, pp. 190–199.
11.
RobertsonJ., SarasuaW., JohnsonJ., and DavisW.. A Methodology for Estimating and Comparing the Lifecycles of High-Build and Conventional Waterborne Pavement Markings on Primary and Secondary Roads in South Carolina. Public Works Management and Policy, Vol. 18, No. 4, 2012, pp. 360–378.
12.
SasidharanL., KarwaV., and DonnellE. T.. Use of Pavement Marking Degradation Models to Develop a Pavement Marking Management System. Public Works Management and Policy, Vol. 14, No. 2, 2009, pp. 148–173.
13.
FuH., and WilmotC. G.. Evaluating Alternative Pavement Marking Materials. Public Works Management and Policy, Vol. 18, No. 3, 2012, pp. 279–297.
14.
ThamizharasanA., SarasuaW. A., ClarkeD. B., and DavisW. J.. A Methodology for Estimating the Lifecycle of Interstate Highway Pavement Marking Retroreflectivity. Presented at 82nd Annual Meeting of the Transportation Research Board, Washington, D.C., 2003.
15.
ZhangY., and WuD.. Methodologies to Predict Service Lives of Pavement Marking Materials. Journal of the Transportation Research Forum, Vol. 45, No. 3, 2006, pp. 5–18.
16.
HummerJ. E., RasdorfW., and ZhangG. H.. Linear Mixed-Effects Models for Paint Pavement-Marking Retroreflectivity Data. Journal of Transportation Engineering, Vol. 137, No. 10, 2011, pp. 705–716.
17.
FitchJ. M. V.Pavement Marking Durability Statewide Final Report. Vermont Agency of Transportation Materials and Research Section, Montpelier, 2007.
18.
NTPEP DataMine 2.0. National Transportation Product Evaluation Program. http://data.ntpep.org/. Accessed July 1, 2015.
ZhangY., PikeA. M., GeH., and CarlsonP. J.. Comparison of Designs of Field Test Decks for Pavement Marking Materials. In Transportation Research Record: Journal of the Transportation Research Board, No. 2258, Transportation Research Board of the National Academies, Washington, D.C., 2011, pp. 95–102.
21.
PikeA. M., and SongchitruksaP.. Predicting Pavement Marking Service Life with Transverse Test Deck Data. In Transportation Research Record: Journal of the Transportation Research Board, No. 2482, Transportation Research Board, Washington, D.C., 2015, pp. 16–22.
Transportation Data and Analysis: Cartographic Maps, GIS Data, Traffic Monitoring Programs, and TIS Database Maintenance. Minnesota Department of Transportation.http://www.dot.state.mn.us/tda/index.html. Accessed July 16, 2015.
ErtelJ. E., and FowlkesE. B.. Some Algorithms for Linear Spline and Piecewise Multiple Linear Regression. Journal of the American Statistical Association, Vol. 71, No. 355, 1976, pp. 640–648.
