Isolated Traffic Signal Control using Nash Bargaining Optimization

Isolated Traffic Signal Control using Nash Bargaining Optimization

Hesham A. Rakha

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Hossam M. Abdelghaffar

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Hao Yang

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Mansoura University

Isolated Traffic Signal Control using Nash Bargaining Optimization

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Abstract

This paper presents a novel isolated traffic signal control algorithm based on a gametheoretic optimization framework. The algorithm models a signalized intersection considering four phases, where each phase is modeled as a player in a game in which the players cooperate to reach a mutual agreement. The Nash bargaining solution is applied to obtain the optimal control strategy, considering a variable phasing sequence and free cycle length. The system is implemented and evaluated in the INTEGRATION microscopic traffic assignment and simulation software. The proposed algorithm is compared to an optimum fixed-time plan and an actuated control algorithm to evaluate the performance of the proposed Nash bargaining approach for different traffic demand levels. The simulation results demonstrate that the proposed Nash bargaining control algorithm outperforms the fixed-time and actuated control algorithms for the various traffic conditions. The benefits are observed in improvements in the stopped delay, queue length, travel time, average vehicle speed, system throughput, fuel consumption, and emission levels.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Hesham A. Rakha. 2017. \u201cIsolated Traffic Signal Control using Nash Bargaining Optimization\u201d. Global Journal of Research in Engineering - B: Automotive Engineering GJRE-B Volume 16 (GJRE Volume 16 Issue B1): .

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GJRE Volume 16 Issue B1
Pg. 27- 36

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Keywords

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Classification

GJRE-B Classification: FOR Code: 090299

Submission ReceivedDecember 12, 2015
Peer Review Double Blind
Handling Editor
Accepted January 1, 2016
Published January 15, 2016

Version of record

v1.2

Issue date

February 9, 2017

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Article Matrices

Total Score: 103

Country: Egypt

Subject: Global Journal of Research in Engineering - B: Automotive Engineering

Authors: Hossam M. Abdelghaffar, Hao Yang, Hesham A. Rakha (PhD/Dr. count: 0)

View Count (all-time): 225

Total Views (Real + Logic): 3966

Total Downloads (simulated): 1811

Publish Date: 2017 02, Thu

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Total Views: 3966

Total Downloads: 1811

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