Name
Abstract | ||
|---|---|---|
An online dual estimation algorithm is developed to jointly estimate in real-time traffic quantities such as queue lengths, occupancies and flows, as well as the parameters of a macroscopic model of a signalized junction. These parameters include turning ratios and saturation flows, together with model uncertainties. The proposed novel methodology is based on the Expectation-Maximization algorithm, modified for real-time estimation, with a Kalman filter implementing the expectation step and a multivariate gradient-based approach for the maximisation step. The algorithm is validated by simulating the typical signalized 3-arm and 4-arm junctions. This work is aimed to form a part of the adaptive control loops for traffic light systems that are able to autonomously adjust with changing traffic conditions, so as to ensure efficient vehicle flows. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TITS.2018.2889972 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | Field | DocType |
Estimation,Real-time systems,Junctions,Computational modeling,Adaptation models,Parameter estimation,Sensors | Macroscopic model,Parametric model,Traffic signal,Control theory,Simulation,Multivariate statistics,Queue,Kalman filter,Engineering,Adaptive control,Traffic conditions | Journal |
Volume | Issue | ISSN |
20 | 12 | 1524-9050 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zammit, L.C. | 1 | 2 | 1.86 |
| Simon G. Fabri | 2 | 89 | 12.48 |
| Kenneth Scerri | 3 | 42 | 4.36 |