Optimized GM(0,N) model with exponential–trigonometric transformations and PSO for queue length prediction at metered roundabouts
Hong Ki An, Shanhua Zhang, Seyed Mohammadreza Ghadiri · 2026
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Description
Hong Ki An, Shanhua Zhang, and Seyed Mohammadreza Ghadiri present a queue prediction model for metered roundabouts in this 2026 paper. Metering signals can balance traffic at busy roundabouts, but managers need queue forecasts. Grey models predict well from few samples, yet classic forms ignore outside factors. Entry volume, conflicting flow, and signal timing all shape queues here.
Their model folds those factors into a GM(0,N) grey model. A combined exponential and trigonometric transform prepares the data better than a single transform. A particle swarm search tunes the model parameters. Field data from Adelaide, Australia tested the method. It beat four rival grey models on several error measures. The model can support detector placement and control of unbalanced roundabout traffic.
Catalog record
| CREATOR | Hong Ki An, Shanhua Zhang, Seyed Mohammadreza Ghadiri |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 66 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |