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Title:

Understanding the Potential of Variable Tolling to Smooth Congestion on Downstream Facilities: Applications of a Joint Time-of-Day and Route Choice Model

Accession Number:

01595698

Record Type:

Component

Availability:

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Order URL: http://worldcat.org/isbn/9780309441223

Abstract:

The aim of this research was to understand the conditions under which time-varying tolls could be used to effectively smooth congestion on a downstream, untolled roadway. This question was answered in the context of the 183A Turnpike in Texas, but the analysis was extended to draw lessons for the potential use and evaluation of time-varying tolls as a congestion management strategy elsewhere. The study relied on two primary data sources: license plate reader data, to observe traffic routing, and a stated preference survey, to understand travelers’ trade-offs between travel time, tolls, and time-of-day shifts. A joint time-of-day and route choice model was developed and implemented in a spreadsheet for the rapid evaluation of a range of scenarios. Model inputs were then varied across key dimensions to achieve a better understanding of the conditions under which such a strategy might or might not be effective. The analysis revealed that under the conditions and constraints specific to the 183A corridor, time-of-day tolling would have a limited effect, but that there are a range of conditions for which time-of-day tolling could be a cost-effective means of managing downstream congestion.

Monograph Accession #:

01595160

Report/Paper Numbers:

16-0074

Language:

English

Authors:

Erhardt, Gregory D

ORCID 0000-0001-8133-3381

Patil, Sunil
Light, Thomas
Tsang, Flavia
Burge, Peter
Sorensen, Paul
Zmud, Mia

Pagination:

pp 29–39

Publication Date:

2016

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2563
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309441223

Media Type:

Print

Features:

Figures (8) ; References (13) ; Tables (2)

Geographic Terms:

Subject Areas:

Data and Information Technology; Highways; Planning and Forecasting

Files:

TRIS, TRB, ATRI

Created Date:

Jan 12 2016 4:17PM

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