Abstract | ||
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To contribute towards the autonomic properties of traffic light systems, a self-estimation algorithm is presented to jointly estimate the states describing the traffic flow dynamics in a junction under different traffic conditions, with model parameters and measurement and process noise. The novel proposed algorithm, based on the Expectation-Maximization algorithm, makes use of a sliding window over time, to estimate junction traffic conditions in quasi real-time. The proposed model and algorithm are validated on a signalized 3-arm junction within the traffic network of Malta. |
Year | DOI | Venue |
---|---|---|
2016 | 10.1109/MED.2016.7535863 | 2016 24th Mediterranean Conference on Control and Automation (MED) |
Keywords | Field | DocType |
autonomic properties,traffic light systems,self-estimation algorithm,traffic flow dynamics,macro traffic junction model,model parameters,process noise,measurement noise,expectation-maximization algorithm,sliding window,junction traffic conditions,signalized 3-arm junction,Malta,traffic network,joint state-parameter estimation | Traffic generation model,Sliding window protocol,Traffic flow,Computer science,Control theory,Control engineering,Traffic network,Intelligent transportation system,Estimation theory,Macro,Traffic conditions | Conference |
ISSN | ISBN | Citations |
2325-369X | 978-1-4673-8347-9 | 1 |
PageRank | References | Authors |
0.48 | 2 | 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 |