Robust Pricing of Transportation Networks Under Uncertainty

Boyles, Stephen D.; Gardner, Lauren; Waller, S. Travis; University of Texas at Austin. Center for Transportation Research

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Robust Pricing of Transportation Networks Under Uncertainty

2010-09-01
By Boyles, Stephen D. ; Gardner, Lauren ; Waller, S. Travis

[PDF-617.19 KB]

English

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Details:

Creators:

Boyles, Stephen D. ; Gardner, Lauren ; Waller, S. Travis

Boyles, Stephen D. ; Gardner, Lauren ; Waller, S. Travis Less -
Corporate Creators:

University of Texas at Austin. Center for Transportation Research
Corporate Contributors:

Southwest Region University Transportation Center (U.S.) ; Texas Transportation Institute ; Texas. Dept. of Transportation ; University Transportation Centers Program (U.S.) ; United States. Dept. of Transportation. Research and Innovative Technology Administration

Southwest Region University Transportation Center (U.S.) ; Texas Transportation Institute ; Texas. Dept. of Transportation ; University Transportation Centers Program (U.S.) ; United States. Dept. of Transportation. Research and Innovative Technology Administration Less -
Subject/TRT Terms:

[+]

Mathematical Models Research Hub Road Pricing Roadway Pricing Toll Revenue Toll Roads Tolls Traffic Congestion Travel Demand Uncertainty
Publication/ Report Number:

SWUTC/10/169206-1 ; Report 169206-1

SWUTC/10/169206-1 ; Report 169206-1 Less -
Resource Type:

Tech Report
Geographical Coverage:

United States
TRIS Online Accession Number:

01324996
Edition:

Research Report
Corporate Publisher:

Southwest Region University Transportation Center (U.S.)
Abstract:

Both public and private entities are concerned with the impacts of future toll revenue, and the effects of tolled facilities on system congestion. Due to the inherent complexity of transportation systems, it is impossible to predict travel demand and congestion conditions exactly, and simplistic attempts to account for this consistently underestimate true levels of congestion. Thus, in the context of roadway pricing, there is a need to develop mathematical models which explicitly account for both demand and supply uncertainty in both the short-term and long-term time scales. This project will develop these models, which will be suitable either to determine the best pricing policies to maximize revenue or minimize congestion, or to evaluate alternative toll policies according to these metrics. Thus, these models will produce more accurate predictions of toll revenues and congestion levels than are available using current methods.
Format:

PDF
Funding:

10727
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:adcc328b2a3bdd8970617b69eb33d553f45ce2b0b07757e41d36128c610b25ac
Download URL:

https://rosap.ntl.bts.gov/view/dot/34328/dot_34328_DS1.pdf
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Robust Pricing of Transportation Networks Under Uncertainty

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