Please use this identifier to cite or link to this item: https://doi.org/10.1109/TENCON.2009.5395809
Title: Iterative learning control of freeway flow via ramp metering and simulation on PARAMICS
Authors: Zhao, X.
Srinivasan, D. 
Xu, J. 
Issue Date: 2009
Source: Zhao, X.,Srinivasan, D.,Xu, J. (2009). Iterative learning control of freeway flow via ramp metering and simulation on PARAMICS. IEEE Region 10 Annual International Conference, Proceedings/TENCON : -. ScholarBank@NUS Repository. https://doi.org/10.1109/TENCON.2009.5395809
Abstract: This paper proposes an iterative learning control approach for the traffic control problem and the objective of control is to derive a proper control signal through iterative learning process to achieve the freeway mainline density tracking task in the presence of unknown but repeated environment and disturbance. The performance of the proposed approach is evaluated based on simulation results on the microscopic traffic simulation software PARAMICS and comparison with the local feedback controller ALINEA. The paper concludes that iterative learning control based ramp metering can drive the density of traffic flow to track a reference output in the presence of unknown but repeated disturbance. © 2009 IEEE.
Source Title: IEEE Region 10 Annual International Conference, Proceedings/TENCON
URI: http://scholarbank.nus.edu.sg/handle/10635/70720
ISBN: 9781424445479
DOI: 10.1109/TENCON.2009.5395809
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