Name
Abstract | ||
|---|---|---|
An online self-estimation algorithm is developed to jointly estimate the states describing the traffic flow dynamics in a signalized junction under different traffic conditions, together with model parameters and their uncertainties. The proposed novel methodology is based on the Expectation-Maximization algorithm and Robbins-Monro stochastic approximation. The algorithm is validated by simulating a typical signalized 4-arm junction. This algorithm could form part of an adaptive control loop for traffic light systems that is able to autonomously adjust to changing traffic conditions. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/MED.2017.7984206 | Mediterranean Conference on Control and Automation |
Field | DocType | ISSN |
Approximation algorithm,Traffic signal,Traffic flow,Computer science,Control theory,Control engineering,Estimation theory,Adaptive control,Stochastic approximation,Traffic conditions | Conference | 2325-369X |
Citations | PageRank | References |
0 | 0.34 | 2 |
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 |