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Title:

Left-Turn Spillback Probability Estimation in a Connected Vehicle Environment

Accession Number:

01701660

Record Type:

Component

Availability:

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Order URL: http://worldcat.org/issn/03611981

Abstract:

At intersections in which the left-turn bay does not have sufficient length or the left-turn volume is relatively high, left-turn vehicles may spill back and block the adjacent through traffic. This paper aims to develop quantitative measures of the left-turn spillback, and by using the results on spillback probability, develop a suitable signal control strategy. We first develop an improved queue length estimation method for vehicles in the left-turn bay based on Comert and Cetin’s general queue length estimation method with connected vehicles, after which we propose a probabilistic model to measure the left-turn spillback probability at an intersection in a connected environment. The model accuracy is validated with results from microscopic traffic simulation. The effect of bay length is also studied. In the end, a signal control demonstration is presented to show the efficiency of the proposed method in signal control.

Report/Paper Numbers:

19-01000

Language:

English

Authors:

Cao, Xiaowei
Jiao, Jian
Zhang, Yunlong
Wang, Xiubin

Pagination:

pp 753-761

Publication Date:

2019-4

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Volume: 2673
Issue Number: 4
Publisher: Sage Publications, Incorporated
ISSN: 0361-1981
EISSN: 2169-4052
Serial URL: http://journals.sagepub.com/home/trr

Media Type:

Digital/other

Features:

Figures (8) ; References (19)

Uncontrolled Terms:

Subject Areas:

Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; Vehicles and Equipment

Files:

TRIS, TRB, ATRI

Created Date:

Feb 25 2019 10:52AM