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Title:

Carousel Method: Reliable Method for Collecting Average Vehicle Occupancy Data for Multilane Freeways

Accession Number:

01555333

Record Type:

Component

Availability:

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Washington, DC 20001 United States

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Order URL: http://worldcat.org/isbn/9780309369282

Abstract:

The purpose of this paper is to report the results of a study on the effectiveness of implementing the carousel method on a multilane freeway. When compared with other average vehicle occupancy (AVO) data collection methods, the functionality of the carousel method allows for the most accurate vehicle occupancy data to be collected on multilane freeways. With the power of a spreadsheet macro user-generated form, the carousel method has the capability to collect observation data, such as AVO data and vehicle type data, instantaneously. As data are collected, a power analysis can be executed to track the progress of the data collection process and can provide intermediate vehicle occupancy results. A 2014 Utah Department of Transportation study outlines how the carousel method was successfully implemented for multilane freeways. The results of the data analysis validated the carousel method as an acceptable method for collecting average vehicle occupancy data. The results of an AVO study in Utah are reported on the basis of the application of the carousel method. Results show that the AVO on express lanes is between 1.55 and 2.23 persons per vehicle and between 1.11 and 1.36 persons per vehicle for general purpose lanes. The details included in this report provide the basic building blocks of information that will allow municipalities and research teams to use the carousel method in multilane freeway studies.

Monograph Accession #:

01589720

Report/Paper Numbers:

15-1948

Language:

English

Authors:

Schultz, Grant G
Mineer, Samuel T
Eggett, Dennis L

Pagination:

pp 165–172

Publication Date:

2015

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2484
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309369282

Media Type:

Print

Features:

Figures (2) ; References (11) ; Tables (2)

Geographic Terms:

Subject Areas:

Data and Information Technology; Highways; Operations and Traffic Management; I72: Traffic and Transport Planning

Files:

PRP, TRIS, TRB, ATRI

Created Date:

Dec 30 2014 12:42PM

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