Flow based local ramp metering using iterative learning and PARAMICS platform

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
Citation:	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
Appears in Collections:	Staff Publications

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