Please use this identifier to cite or link to this item:
|Title:||Flow based local ramp metering using iterative learning and PARAMICS platform|
|Authors:||Xu, J. |
|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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Oct 17, 2018
WEB OF SCIENCETM
checked on Oct 9, 2018
checked on Oct 13, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.