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Title:

Traffic Signal Coordination and Queue Management in Oversaturated Intersection
Cover of Traffic Signal Coordination and Queue Management in Oversaturated Intersection

Accession Number:

01344856

Record Type:

Monograph

Availability:

NEXTRANS

Purdue University
3000 Kent Avenue
Lafayette, IN 47906-1075 USA

Abstract:

Traffic signal timing optimization when done properly, could significantly improve network performance by reducing delay, increasing network throughput, reducing number of stops, or increasing average speed in the network. The optimization can become complex due to large solution space caused by many combinations of different parameters that affect traffic operation. In this study three different methods are used to find near-optimal signal timing parameters in transportation networks. The methods are: Genetic Algorithms (GA), Evolution Strategies (ES), and Approximate Dynamic Programming (ADP). Each method is introduced, the signal timings associated with them are explained and some important measures of performance of the networks are determined and compared. One small network with 9 intersections and one medium network with 20 intersections were used for evaluating the optimizations methods. Three general cases (Cases 1, 2, 3) are discussed in this report. For the small symmetric network, three levels of traffic loading are used (no overload, 10% overload and 20% overload). For the medium network (modified Springfield IL downtown network), two levels of entry volumes are used (750 and 1000 vehicle per hour per lane).

Supplemental Notes:

This research was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.

Report/Paper Numbers:

NEXTRANS Project No. 047IY02

Contract Numbers:

DTRT07-G-005 Grant

Language:

English

Corporate Authors:

University of Illinois, Urbana-Champaign

Department of Civil and Environmental Engineering
205 North Mathews Avenue
Urbana, IL 61801-2352 USA

NEXTRANS

Purdue University
3000 Kent Avenue
Lafayette, IN 47906-1075 USA

Research and Innovative Technology Administration

1200 New Jersey Avenue, SE
Washington, DC 20590 USA

Authors:

Hajbabaie, Ali
Medina, Juan C
Benekohal, Rahim F

Pagination:

108p

Publication Date:

2011-3-18

Edition:

Final Report

Media Type:

Web

Features:

Figures; References; Tables

Uncontrolled Terms:

Geographic Terms:

Subject Areas:

Highways; Operations and Traffic Management; I73: Traffic Control

Files:

UTC, NTL, TRIS, USDOT

Created Date:

Jun 30 2011 10:37AM