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Title: Joint state and parameter estimation for a macro traffic junction model
Authors: Chetcuti Zammit, Luana
Fabri, Simon G.
Scerri, Kenneth
Keywords: Expectation-maximization algorithms
Intelligent transportation systems
Traffic engineering -- Data processing
Issue Date: 2016
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Chetcuti Zammit, L., Fabri, S. G., & Scerri, K. (2016). Joint state and parameter estimation for a macro traffic junction model. 24th Mediterranean Conference on Control and Automation (MED), Athens. 1152-1157.
Abstract: 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.
Appears in Collections:Scholarly Works - FacEngSCE

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