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Title:

Dynamic Turning Restriction Management for Signalized Road Network

Accession Number:

01551133

Record Type:

Component

Availability:

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Washington, DC 20001 United States
Order URL: http://www.trb.org/Main/Blurbs/173261.aspx

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Order URL: http://worldcat.org/isbn/9780309369077

Abstract:

Turning restrictions are a commonly used strategy for improving the capacity of signalized intersections in an urban network. To meet the needs of the pronounced variability of volumes in the network and to extend the application range of the turning restriction strategy, a dynamic turning restriction optimization method is developed for multiple signalized intersections. A lane-based optimization model is proposed for the integrated operation of prohibited movements, detour routes, the layout of the intersections, and signal timings. The capacity maximization problem is considered. A set of constraints is determined; the set meets the characteristics of dynamic control and ensures feasibility and safety of the optimization results. The optimization is formulated as a mixed-integer linear programming problem, which can be solved with the standard branch-and-bound technique. The results of numerical analysis show the effectiveness of the proposed method, as well as the promising property of helping transportation professionals make a proper selection of turning restriction types and avoid causing new bottleneck points.

Monograph Accession #:

01580506

Report/Paper Numbers:

15-1141

Language:

English

Authors:

Zhao, Jing
Ma, Wanjing
Head, K Larry
Yang, Xiaoguang

Pagination:

pp 96–111

Publication Date:

2015

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Issue Number: 2487
Publisher: Transportation Research Board
ISSN: 0361-1981

ISBN:

9780309369077

Media Type:

Print

Features:

Figures (6) ; References (32) ; Tables (4)

Subject Areas:

Highways; Operations and Traffic Management; Safety and Human Factors; I73: Traffic Control

Files:

TRIS, TRB, ATRI

Created Date:

Dec 30 2014 12:27PM

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