Title
Joint state and parameter estimation for a macro traffic junction model
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.
Year
DOI
Venue
2016
10.1109/MED.2016.7535863
2016 24th Mediterranean Conference on Control and Automation (MED)
Keywords
Field
DocType
autonomic properties,traffic light systems,self-estimation algorithm,traffic flow dynamics,macro traffic junction model,model parameters,process noise,measurement noise,expectation-maximization algorithm,sliding window,junction traffic conditions,signalized 3-arm junction,Malta,traffic network,joint state-parameter estimation
Traffic generation model,Sliding window protocol,Traffic flow,Computer science,Control theory,Control engineering,Traffic network,Intelligent transportation system,Estimation theory,Macro,Traffic conditions
Conference
ISSN
ISBN
Citations 
2325-369X
978-1-4673-8347-9
1
PageRank 
References 
Authors
0.48
2
3
Name
Order
Citations
PageRank
Zammit, L.C.121.86
Simon G. Fabri28912.48
Kenneth Scerri3424.36