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A Particle Swarm Optimisation with Linearly Decreasing Weight for Real-Time Traffic Signal Control.
- Source :
- Machines; Nov2021, Vol. 9 Issue 11, p280-280, 1p
- Publication Year :
- 2021
-
Abstract
- Nowadays, traffic congestion has become a significant challenge in urban areas and densely populated cities. Real-time traffic signal control is an effective method to reduce traffic jams. This paper proposes a particle swarm optimisation with linearly decreasing weight (LDW-PSO) to tackle the signal intersection control problem, where a finite-interval model and an objective function are built to minimise spoilage time. The performance was evaluated in real-time simulation imitating a crowded intersection in Dalian city (in China) via the SUMO traffic simulator. The simulation results showed that the LDW-PSO outperformed the classical algorithms in this research, where queue length can be reduced by up to 20.4% and average waiting time can be reduced by up to 17.9%. [ABSTRACT FROM AUTHOR]
- Subjects :
- TRAFFIC signs & signals
TRAFFIC engineering
TRAFFIC congestion
CITIES & towns
Subjects
Details
- Language :
- English
- ISSN :
- 20751702
- Volume :
- 9
- Issue :
- 11
- Database :
- Complementary Index
- Journal :
- Machines
- Publication Type :
- Academic Journal
- Accession number :
- 153897102
- Full Text :
- https://doi.org/10.3390/machines9110280