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|Title:||Online state and multidimensional parameter estimation for a macroscopic model of a traffic junction|
|Authors:||Chetcuti Zammit, Luana|
Fabri, Simon G.
Traffic engineering -- Data processing
Intelligent transportation systems
|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.|
|Appears in Collections:||Scholarly Works - FacEngSCE|
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