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Title:

Spatial Prediction of AADT in Unmeasured Locations by Universal Kriging

Accession Number:

01340223

Record Type:

Component

Abstract:

This work explores the application of kriging methods for prediction of average daily traffic counts across the Texas network. Both results based on both euclidean and roadway network distances (between new count sites and existing data-collection sites) are compared, allowing for strategic spatial interpolation of count values, while comparing for functional classification, lane numbers, speed limits, and other site attributes. Universal kriging is found to reduce errors (in practically and statistically significant ways) over non-spatial regression techniques, thought, at some sites, errors remain quite high, particularly in less dense areas and on small roads near major highways. Interestingly, the estimation of kriging parameters by network distances showed no enhanced performance over Euclidean distances, which require less data and are much more easily computed.

Monograph Accession #:

01329018

Report/Paper Numbers:

11-1665

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Selby, Brent
Kockelman, Kara

Pagination:

21p

Publication Date:

2011

Conference:

Transportation Research Board 90th Annual Meeting

Location: Washington DC, United States
Date: 2011-1-23 to 2011-1-27
Sponsors: Transportation Research Board

Media Type:

DVD

Features:

Figures; Maps; References; Tables (6)

Uncontrolled Terms:

Kriging

Geographic Terms:

Texas

Subject Areas:

Highways; Planning and Forecasting; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2011 Paper #11-1665

Files:

TRIS, TRB

Created Date:

Feb 17 2011 5:53PM