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Title: A Novel Game Theoretic De-Centralized Traffic Signal Controller: Model Development and Testing
Accession Number: 01660165
Record Type: Component
Abstract: This paper presents a novel de-centralized traffic signal controller, achieved using a Nash bargaining game-theoretic framework, that operates a flexible phasing sequence to adapt to dynamic changes in traffic demand. The Nash bargaining algorithm optimizes each signalized intersection by modeling each phase as a player in a game in which the players cooperate to reach a mutual agreement. The proposed algorithm was implemented and evaluated using the INTEGRATION microscopic traffic assignment and simulation software. The proposed control approach is compared to the operation of an optimum fixed-time coordinated plan, an actuated controller, a centralized adaptive phase split controller, a decentralized phase split and cycle length controller, and a fully coordinated adaptive phase split, cycle length, and offset optimization controller to evaluate the performance of the proposed decentralized controller. The proposed controller was tested on an isolated intersection, showing a 77% reduction in queue length, 17% reduction in vehicle emission levels, 65% reduction in average travel time, and 64% reduction in the total delay. In the case of the arterial network the proposed algorithm produced reductions in total delay ranging from 36% to 67%, in the average travel time ranging from 7% to 21%, and a reduction in vehicle emissions ranging from 6% to 13%, which were demonstrated to be statistically significant. These results demonstrate that major benefits that can be achieved from the proposed de-centralized controller.
Supplemental Notes: This paper was sponsored by TRB committee AHB25 Standing Committee on Traffic Signal Systems.
Alternate title: A Novel Game-Theoretic Decentralized Traffic Signal Controller: Model Development and Testing
Report/Paper Numbers: 18-02078
Language: English
Authors: Pagination: 16p
Publication Date: 2018
Conference:
Transportation Research Board 97th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Subject Areas: Highways; Operations and Traffic Management
Source Data: Transportation Research Board Annual Meeting 2018 Paper #18-02078
Files: TRIS, TRB, ATRI
Created Date: Jan 8 2018 10:30AM
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