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Title:

Vehicular Traffic Capacity at Unsignalized Crosswalks with Probabilistic Yielding Behavior

Accession Number:

01559843

Record Type:

Component

Availability:

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Washington, DC 20001 United States

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Order URL: http://worldcat.org/isbn/9780309369268

Abstract:

Motorists’ probabilistic yielding behavior is often observed at unsignalized crosswalks, but its impedance on traffic capacity has not been thoroughly examined. The uniqueness of this problem, which is also the challenge, is that neither pedestrians nor motorists hold absolute priority because of uncertainty in yielding behavior. Therefore, from the perspective of queuing theory, understanding the service mechanism is key to determining system performance. In this study, based on explicit analyses of complete yielding scenarios, the distribution of service time for queuing vehicles is derived. Traffic capacity is then determined on the basis of mean service time for queuers. In the special case of drivers fully respecting the priority of pedestrian flow, the capacity model reduces to the classic formula with absolute priority. The solutions from the proposed capacity model precisely match the results from stochastic simulations. To facilitate practical applications, an approximation is also developed that greatly simplifies the capacity formula but still gives very close estimations to the exact solutions. This simplified formula is recommended for practical applications. The proposed capacity formula, as well as the service time distribution, can also be applied to develop performance measures such as traffic delay and queue length through use of sophisticated queuing formulas.

Monograph Accession #:

01587923

Report/Paper Numbers:

15-3016

Language:

English

Authors:

Wei, Dali
Xu, Hao
Kumfer, Wesley
Liu, Hongchao
Wang, Ziyang

Pagination:

pp 80–90

Publication Date:

2015

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2483
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309369268

Media Type:

Print

Features:

Figures (6) ; References (17) ; Tables (2)

Candidate Terms:

Subject Areas:

Data and Information Technology; Highways; Operations and Traffic Management; Pedestrians and Bicyclists; Planning and Forecasting; I72: Traffic and Transport Planning; I73: Traffic Control

Files:

TRIS, TRB, ATRI

Created Date:

Dec 30 2014 1:01PM

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