Adaptive Traffic Signal Control: Game-Theoretic Decentralized vs. Centralized Perimeter Control
| Autor: | Maha Elouni, Hesham A. Rakha, Hossam M. Abdelghaffar |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
game theory
Adaptive control Grid network Computer science NFD Gating 010501 environmental sciences computer.software_genre lcsh:Chemical technology adaptive control 01 natural sciences Biochemistry Article Analytical Chemistry Control theory 0502 economics and business lcsh:TP1-1185 Electrical and Electronic Engineering Instrumentation 0105 earth and related environmental sciences 050210 logistics & transportation 05 social sciences DNB Atomic and Molecular Physics and Optics Simulation software TheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES Traffic congestion Fuel efficiency perimeter control computer Game theory |
| Zdroj: | Sensors (Basel, Switzerland) Sensors Volume 21 Issue 1 Sensors, Vol 21, Iss 274, p 274 (2021) |
| ISSN: | 1424-8220 |
| Popis: | This paper compares the operation of a decentralized Nash bargaining traffic signal controller (DNB) to the operation of state-of-the-art adaptive and gating traffic signal control. Perimeter control (gating), based on the network fundamental diagram (NFD), was applied on the borders of a protected urban network (PN) to prevent and/or disperse traffic congestion. The operation of gating control and local adaptive controllers was compared to the operation of the developed DNB traffic signal controller. The controllers were implemented and their performance assessed on a grid network in the INTEGRATION microscopic simulation software. The results show that the DNB controller, although not designed to solve perimeter control problems, successfully prevents congestion from building inside the PN and improves the performance of the entire network. Specifically, the DNB controller outperforms both gating and non-gating controllers, with reductions in the average travel time ranging between 21% and 41%, total delay ranging between 40% and 55%, and emission levels/fuel consumption ranging between 12% and 20%. The results demonstrate statistically significant benefits of using the developed DNB controller over other state-of-the-art centralized and decentralized gating/adaptive traffic signal controllers. |
| Databáze: | OpenAIRE |
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