Please use this identifier to cite or link to this item:
|Title:||Joint state and parameter estimation for a macro traffic junction model|
|Authors:||Chetcuti Zammit, Luana|
Fabri, Simon G.
Intelligent transportation systems
Traffic engineering -- Data processing
|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|
Files in This Item:
|325.83 kB||Adobe PDF||View/Open Request a copy|
Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.