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Authors: Luana Chetcuti Zammit ; Simon G. Fabri and Kenneth Scerri

Affiliation: University of Malta, Malta

Keyword(s): Macro Model Estimation, Expectation-maximization Algorithm, Quasi Real-time Estimation, Traffic Junction Modelling, Urban Traffic Control, Intelligent Transportation System.

Abstract: A novel algorithm is presented for macro model estimation of the dynamics of traffic flow in a junction having multiple input lanes for each turning direction. The proposed algorithm jointly estimates the states describing the traffic flow under different traffic conditions, together with model parameters and their uncertainties of the measurement and process noise. Use is made of the Expectation-Maximization methodology with a sliding window over time in order to obtain quasi real-time estimation.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Chetcuti Zammit, L.; Fabri, S. and Scerri, K. (2017). Simultaneous Traffic Flow and Macro Model Estimation for Signalized Junctions with Multiple Input Lanes. In Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS; ISBN 978-989-758-242-4; ISSN 2184-495X, SciTePress, pages 157-164. DOI: 10.5220/0006244801570164

@conference{vehits17,
author={Luana {Chetcuti Zammit}. and Simon G. Fabri. and Kenneth Scerri.},
title={Simultaneous Traffic Flow and Macro Model Estimation for Signalized Junctions with Multiple Input Lanes},
booktitle={Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS},
year={2017},
pages={157-164},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006244801570164},
isbn={978-989-758-242-4},
issn={2184-495X},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS
TI - Simultaneous Traffic Flow and Macro Model Estimation for Signalized Junctions with Multiple Input Lanes
SN - 978-989-758-242-4
IS - 2184-495X
AU - Chetcuti Zammit, L.
AU - Fabri, S.
AU - Scerri, K.
PY - 2017
SP - 157
EP - 164
DO - 10.5220/0006244801570164
PB - SciTePress