TRB Pubsindex
Text Size:

Title:

Dynamically Determining the Toll Booth Capacity by Monitoring Approaching Traffic Conditions in Real-Time

Accession Number:

01557566

Record Type:

Component

Availability:

Transportation Research Board Business Office

500 Fifth Street, NW
Washington, DC 20001 United States

Abstract:

Toll plaza staffing schedules at seven bridges in the San Francisco Bay Area were recently revised to better allocate resources to address traffic demand. These schedule revisions accompanied changes in the number of cash and FasTrak lanes at the toll plazas. The changes resulted in delays at some locations, while traffic conditions at other locations remained unchanged. Based on the findings from analyzing the changes in traffic conditions near toll plazas before and the staffing changes, an analytical method for dynamically adjusting toll bridge capacity has been developed, and the validity of the proposed model is evaluated using empirical data. The analytical method is based on a proxy measure developed using the discharge rate observed at toll plazas in the San Francisco Bay Area and the segment travel times measured by probe in the vicinity. Findings indicate that the estimated number of vehicles stored near the upstream toll plaza based on discharge rate and their travel times can be used as a proxy measure for predicting the effect of changes in toll booth capacity on travel times. The proposed model can aid government agencies to adjust the toll bridge capacity in response to sudden shift in demand due to various situations of failure.

Supplemental Notes:

This paper was sponsored by TRB committee AHB20 Freeway Operations. Alternate title: Dynamic Determination of Toll Booth Capacity by Monitoring Approaching Traffic Conditions in Real Time.

Monograph Accession #:

01550057

Report/Paper Numbers:

15-2708

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Kim, Cheolsun
Kim, Dong-Kyu
Kho, Seung-Young
Kang, Seungmo
Chung, Koohong

Pagination:

19p

Publication Date:

2015

Conference:

Transportation Research Board 94th Annual Meeting

Location: Washington DC, United States
Date: 2015-1-11 to 2015-1-15
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; Maps; References

Geographic Terms:

Subject Areas:

Administration and Management; Highways; Operations and Traffic Management; I10: Economics and Administration; I72: Traffic and Transport Planning

Source Data:

Transportation Research Board Annual Meeting 2015 Paper #15-2708

Files:

TRIS, TRB, ATRI

Created Date:

Dec 30 2014 12:56PM