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Title:

Development of Zonal-Specific Semivariograms for a Strategic RWIS Network Optimization: A Case Study

Accession Number:

01630600

Record Type:

Component

Abstract:

This paper presents a study aimed at developing zonal-specific semivariograms for zones with different climates using regionalized random variables for a strategic RWIS network implementation and optimization in a large region. Zonal semivariograms modeled in this study are explicitly compared with regional semivariograms to demonstrate the (dis)similarity in their underlying spatial structures. With two groups of semivariograms developed in terms of their weather characteristics, namely regional and zonal, large scale RWIS location and density optimizations are conducted to compare the outcomes and illustrate their distinct features. A case study based on the existing RWIS network in Ontario, Canada is 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 location and density also reveal that the optimal locations are insensitive to the underlying spatial structure (i.e. semivariogram) used to optimize the network but very sensitive to the optimal density, providing a very important yet useful decision making guidance for improved efficiency and effectiveness of overall winter road maintenance programs.

Supplemental Notes:

This paper was sponsored by TRB committee AH010 Standing Committee on Surface Transportation Weather. Alternate title: Development of Zonal-Specific Semivariograms for a Strategic Road Weather Information System Network Optimization: Case Study.

Monograph Accession #:

01618707

Report/Paper Numbers:

17-02754

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Kwon, Tae J
Muresan, Matthew Iulian
Fu, Liping
Usman, Taimur

Pagination:

16p

Publication Date:

2017

Conference:

Transportation Research Board 96th Annual Meeting

Location: Washington DC, United States
Date: 2017-1-8 to 2017-1-12
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Candidate Terms:

Geospatial analysis

Geographic Terms:

Ontario (Province)

Subject Areas:

Data and Information Technology; Highways

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-02754

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 11:02AM