Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICCA.2009.5410173
Title: Flow based local ramp metering using iterative learning and PARAMICS platform
Authors: Xu, J. 
Zhao, X.
Srinivasan, D. 
Keywords: Flow control
Iterative learning
PARAMICS simulator
Ramp metering
Issue Date: 2009
Source: Xu, J., Zhao, X., Srinivasan, D. (2009). Flow based local ramp metering using iterative learning and PARAMICS platform. 2009 IEEE International Conference on Control and Automation, ICCA 2009 : 1140-1145. ScholarBank@NUS Repository. https://doi.org/10.1109/ICCA.2009.5410173
Abstract: In this work, we apply iterative learning control to address ramp metering in a macroscopic level freeway environment. By formulating the original ramp metering problem as a output tracking and disturbance rejection problem, iterative learning control can be applied and improve the traffic response. The learning mechanism is based on traffic flow. To mimic a real traffic environment, a simulator is built on the PARAMICS platform. The control design and simulations are carried within the platform under on-ramp constraints. The effectiveness of the new approach is verified through PARAMICS-based simulations. ©2009 IEEE.
Source Title: 2009 IEEE International Conference on Control and Automation, ICCA 2009
URI: http://scholarbank.nus.edu.sg/handle/10635/70346
ISBN: 9781424447060
DOI: 10.1109/ICCA.2009.5410173
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