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https://www.um.edu.mt/library/oar/handle/123456789/29285| Title: | Online state and multidimensional parameter estimation for a macroscopic model of a traffic junction |
| Authors: | Chetcuti Zammit, Luana Fabri, Simon G. Scerri, Kenneth |
| Keywords: | Expectation-maximization algorithms Traffic engineering -- Data processing Intelligent transportation systems |
| Issue Date: | 2017 |
| Publisher: | Institute of Electrical and Electronics Engineers Inc. |
| Citation: | Zammit, L. C., Fabri, S. G., & Scerri, K. (2017). Online state and multidimensional parameter estimation for a macroscopic model of a traffic junction. 20th International Conference on Intelligent Transportation Systems (ITSC), Yokohama. 1-6. |
| Abstract: | An online multidimensional self-estimation algorithm is developed to jointly estimate the parameters of a macroscopic model describing the traffic dynamics in a signalized junction under different traffic conditions, together with the state variables characterising traffic flow. The proposed novel methodology is based on the Expectation-Maximization algorithm and multidimensional Robbins-Monro stochastic approximation. The algorithm is validated on the geometry of a signalized 3-arm junction within the traffic network of Malta resulting in a mean percentage error of -0.965% on the parameter estimates. This is aimed to form part of an adaptive control loop for traffic light systems that is able to autonomously adjust to changing traffic conditions. |
| URI: | https://www.um.edu.mt/library/oar//handle/123456789/29285 |
| Appears in Collections: | Scholarly Works - FacEngSCE |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Online_state_and_multidimensional_parameter_estimation_for_a_macroscopic_model_of_a_traffic_junction.pdf Restricted Access | 1.13 MB | Adobe PDF | View/Open Request a copy |
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