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Title: Online state and parameter estimation for a 4-arm 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 parameter estimation for a 4-arm traffic junction. 25th Mediterranean Conference on Control and Automation (MED), Valletta. 737-742.
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.
Appears in Collections:Scholarly Works - FacEngSCE

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