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Title:

Ontario Commercial Vehicle Survey: Use of Geographic Information Systems for Data Collection, Processing, Analysis, and Dissemination
Cover of Ontario Commercial Vehicle Survey: Use of Geographic Information Systems for Data Collection, Processing, Analysis, and Dissemination

Accession Number:

01103635

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

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Order URL: http://worldcat.org/isbn/9780309113076

Abstract:

The Ontario Commercial Vehicle Survey (CVS) is part of the National Roadside Study (NRS) conducted by Transport Canada about every 5 years across Canada on major highways and international border crossings. The NRS is a roadside truck driver intercept survey that captures many aspects of the trip, including route, commodity, vehicle weight and dimensions, and driver and carrier profile. In the past 10 years, significant improvements have been made in data collection, processing, and reporting techniques to enhance the accuracy of the survey data. The direct data entry method was introduced in 1995, followed by data processing and reporting techniques based on geographic information systems (GIS) in the 1999–2001 survey. The ongoing 2005–2007 survey software includes a GIS-based routing component that will enable the surveyor to confirm the route with the driver and modify it, if required, to get an accurate profile of the highways used for the trip. Currently the CVS is the most detailed source of intercity commercial vehicle characteristics and commodity flow information available to the Ontario Ministry of Transportation (MTO). The data have been used by various levels of government and private-sector consultants for studies to prioritize multiyear strategic investments.

Monograph Accession #:

01103630

Language:

English

Authors:

Sureshan, Selva

Pagination:

pp 72-74

Publication Date:

2008

Serial:

Transportation Research Board Conference Proceedings

Issue Number: 40
Publisher: Transportation Research Board
ISSN: 1073-1652

Conference:

Freight Demand Modeling: Tools for Public-Sector Decision Making

Location: Washington D.C., United States
Date: 2006-9-25 to 2006-9-27
Sponsors: Transportation Research Board; Federal Highway Administration; U.S. Army Corps of Engineers; Research and Innovative Technology Administration; Federal Railroad Administration

ISBN:

9780309113076

Media Type:

Print

Uncontrolled Terms:

Geographic Terms:

Subject Areas:

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

Files:

TRIS, TRB

Created Date:

Jun 25 2008 8:56AM

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