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Title:

Computing the Minimal U-Turn Offset for an Unsignalized Superstreet

Accession Number:

01628146

Record Type:

Component

Availability:

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Order URL: http://worldcat.org/isbn/9780309441919

Abstract:

Despite the extensive implementations of unsignalized superstreets in practice, reliable methodologies for their geometric design remain unavailable. In recognition of the critical role of the U-turn offset length design, this study proposed an applicable tool to help traffic professionals determine the minimum required offset length for safety needs. The proposed model offers a convenient tool to evaluate a candidate design on the basis of traffic dynamics and driver gap acceptance behavior. In addition, this model can be used to assess whether installation of signals is needed to accommodate growing traffic. With the use of the surrogate safety assessment model as an unbiased tool, this study evaluated the safety performance of one superstreet with varied U-turn offset lengths (i.e., 700, 1,100, and 1,500 ft). Comparisons of the results of different designs indicated that the safety performance of the superstreet would not be compromised if the U-turn offset was reduced from 1,500 to 1,100 ft. However, more severe crashes were observed when the U-turn offset length was 700 ft. Further extensive analyses on different levels of demand also confirmed the need to properly design the offset length in an unsignalized superstreet.

Monograph Accession #:

01624541

Report/Paper Numbers:

17-02645

Language:

English

Authors:

Xu, Liu
Yang, Xianfeng
Chang, Gang-Len

Pagination:

pp 48–57

Publication Date:

2017

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2618
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309441919

Media Type:

Digital/other

Features:

Figures (5) ; References (27) ; Tables (6)

Uncontrolled Terms:

Subject Areas:

Design; Highways; Operations and Traffic Management; Safety and Human Factors

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 11:00AM

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