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Title:

Survey Results Comparing Value of Time Distributions for Future Auction Tolling

Accession Number:

01623306

Record Type:

Component

Abstract:

To achieve an efficient distribution of traffic over the tolled and general-purpose lanes or roads, the toll magnitudes need to be set carefully. Optimal setting of toll magnitudes would require a detailed knowledge of the population being served. Understanding individual Values of Time (VOT, sometimes alternatively called value of time saved) allow estimating the utility each driver assess to determine the utility of using a toll road. This paper shows, from survey data, that individual VOT may vary depending on the tolling mechanism being used, especially when auction tolling is used. It is expected that with the emergence of connected and automated vehicles, more sophisticated tolling mechanisms, such as auctions, would be employed in the future. The auction methods considered in this paper are a sealed-bid auction and a Vickrey auction. Both mechanisms assume a sufficiently advance technology is in place for them to be deployed, i.e., Vehicle-to-Infrastructure (V2I). The results indicate that there is a difference in the VOT estimates for both auction types and this difference can be explained using Auction Theory.

Supplemental Notes:

This paper was sponsored by TRB committee ABE25 Standing Committee on Congestion Pricing.

Monograph Accession #:

01618707

Report/Paper Numbers:

17-00977

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Collins, Andrew J
Robinson, R. Michael
Cetin, Mecit

Pagination:

12p

Publication Date:

2017

Conference:

Transportation Research Board 96th Annual Meeting

Location: Washington DC, United States
Date: 2017-1-8 to 2017-1-12
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Photos; References; Tables

Uncontrolled Terms:

Subject Areas:

Finance; Highways; Operations and Traffic Management

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-00977

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 10:15AM