Development of Zonal-Specific Semivariograms for a Strategic RWIS Network Optimization: Case Study
Publication: Journal of Infrastructure Systems
Volume 25, Issue 2
Abstract
This paper presents a study aimed at developing zonal-specific semivariograms for zones with different climates using regionalized random variables for a strategic road weather information system (RWIS) network implementation and optimization in a large region. Zonal semivariograms modeled in this study were explicitly compared with regional semivariograms to demonstrate the (dis)similarity in their underlying spatial structures. Large-scale RWIS location and density optimizations were conducted with two groups of semivariograms developed in terms of their weather characteristics, namely regional and zonal, and were conducted to compare outcomes and illustrate their distinct features. A case study based on the existing RWIS network in Ontario, Canada, was used to show the application of the proposed method. The findings indicate that there are very different spatial autocorrelation patterns between regional and zonal-specific semivariograms, thereby emphasizing the need for a strategic zonal-specific RWIS implementation plan. The results of different planning scenarios for optimizing RWIS network also reveal that although the optimal locations are insensitive to the underlying spatial structure (i.e., semivariogram) used to optimize the network, the optimal density is found to be very sensitive to such, providing important yet useful decision-making guidance for improved efficiency and effectiveness of overall winter road maintenance programs.
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Acknowledgments
The authors would like to thank our anonymous reviewers for providing constructive feedback and valuable comments to improve the readability of this manuscript. This research was partially funded by the Aurora Program (http://www.aurora-program.org/) and National Sciences and Engineering Research Council of Canada (NSERC).
References
Agarwal, M., T. Maze, and R. Souleyrette. 2005. Impacts of weather on urban freeway traffic flow characteristics and facility capacity. Final Rep. Ames, IA: Center for Transportation Research and Education, Iowa State Univ.
Alley, W. M. 1993. “Geostatistical models.” In Regional ground-water quality, edited by W. M. Alley, 87–108. New York: van Norstrand Reinhold.
Brown, D. M., G. McKay, and L. J. Chapman. 1980. The climate of southern Ontario. Toronto: Environment Canada, Atmospheric Environment Service (Environment Canada), Service de l’environnement atmosphérique.
Eichenlaub, V. L. 1979. Weather and climate of the Great Lakes region. Notre Dame, IN: Univ. of Notre Dame Press.
Federal Highway Administration 2016. “Road Weather Management Program: Snow and ice.” Accessed July 21, 2016. https://ops.fhwa.dot.gov/weather/weather_events/snow_ice.htm.
Goodwin, L. 2002. Analysis of weather-related crashes on US highways. Reston, VA: Mitretek Systems.
Goovaerts, P. 1997. Geostatistics for natural resources evaluation. New York: Oxford University Press.
Journel, A. G., and C. J. Huijbregts. 1978. Mining geostatistics. London: Academic Press.
Kirkpatrick, S., C. D. Gelatt, and M. P. Vecchi. 1983. “Optimization by simulated annealing.” Science 220 (4598): 671–680. https://doi.org/10.1126/science.220.4598.671.
Krige, D. G. 1951. “A statistical approach to some basic mine valuation problems on the Witwatersrand.” J. South Afr. Inst. Min. Metall. 52 (6): 119–139.
Kwon, T. J., and L. Fu. 2013. “Evaluation of alternative criteria for determining the optimal location of RWIS stations.” J. Mod. Transp. 21 (1): 17–27. https://doi.org/10.1007/s40534-013-0008-9.
Kwon, T. J., and L. Fu. 2015. “RWIS network planning: Optimal density and location.” Final report submitted to Aurora Program, Aurora Project 2010-04. Accessed September 3, 2015. http://www.aurora-program.org.
Kwon, T. J., L. Fu, and C. Jiang. 2013. “Effect of winter weather and road surface conditions on macroscopic traffic parameters.” Transp. Res. Rec. 2329 (1): 54–62. https://doi.org/10.3141/2329-07.
Kwon, T. J., L. Fu, and C. Jiang. 2014. “Road weather information system stations: Where and how many to install: A cost benefit analysis approach.” Can. J. Civ. Eng. 42 (1): 57–66. https://doi.org/10.1139/cjce-2013-0569.
Kwon, T. J., L. Fu, and S. J. Melles. 2016. “Location optimization of road weather information system (RWIS) network considering the needs of winter road maintenance and the traveling public.” Comput.-Aided Civ. Infrastruct. Eng. 32 (1): 57–71. https://doi.org/10.1111/mice.12222.
Kyte, M., Z. Khatib, P. Shannon, and F. Kitchener. 2001. “Effect of weather on free-flow speed.” Transp. Res. Rec. 1776 (1): 60–68. https://doi.org/10.3141/1776-08.
Lysyk, B., G. Chagani, N. Stavropoulos, B. Amerski, S. Shah, A. Truong, K. Ho, T. Randoja, and M. Green. 2015. Winter highway maintenance. Toronto, ON: Office of the Auditor General of Ontario.
Mackinnon, D., and A. Lo. 2009. Alberta transportation road weather information system (RWIS) expansion study. Edmonton, Canada: Alberta Transportation.
McBratney, A., and R. Webster. 1983. “Optimal interpolation and isarithmic mapping of soil properties.” J. Soil Sci. 34 (1): 137–162. https://doi.org/10.1111/j.1365-2389.1983.tb00820.x.
Olea, R. A. 2006. “A six-step practical approach to semivariogram modeling.” Stochastic Environ. Res. Risk Assess. 20 (5): 307–318. https://doi.org/10.1007/s00477-005-0026-1.
Qiu, L., and W. A. Nixon. 2008. “Modeling the causal relationships between winter highway maintenance, adverse weather and mobility.” In Proc., Transportation Research Board 87th Annual Meeting, 08–3101. Washington, DC: Transportation Research Board.
Usman, T., L. Fu, and L. F. Miranda-Moreno. 2012. “A disaggregate model for quantifying the safety effects of winter road maintenance activities at an operational level.” Accid. Anal. Prev. 48: 368–378. https://doi.org/10.1016/j.aap.2012.02.005.
Van Groenigen, J. W., W. Siderius, and A. Stein. 1999. “Constrained optimisation of soil sampling for minimisation of the kriging variance.” Geoderma 87 (3): 239–259. https://doi.org/10.1016/S0016-7061(98)00056-1.
Wallman, C. G. 2016. The winter model—A winter maintenance management system, 7–17. Torino, Italy: PIARC.
Zhao, L., S. Chien, J. Meegoda, Z. Luo, and X. Liu. 2015. “Cost-benefit analysis and microclimate-based optimization of a RWIS network.” J. Infrastruct. Syst. 22 (2): 04015021. https://doi.org/10.1061/(ASCE)IS.1943-555X.0000278.
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Published In
Journal of Infrastructure Systems
Volume 25 • Issue 2 • June 2019
Copyright
©2019 American Society of Civil Engineers.
History
Received: Jun 22, 2017
Accepted: Nov 20, 2018
Published online: Mar 22, 2019
Published in print: Jun 1, 2019
Discussion open until: Aug 22, 2019
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