Flow based local ramp metering using iterative learning and PARAMICS platform

Author

Xu, Jianxin ; Zhao, Xinjie ; Srinivasan, Dipti

Author_Institution

Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore

fYear

2009

fDate

9-11 Dec. 2009

Firstpage

1140

Lastpage

1145

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.

Keywords

control system synthesis; flow control; flow simulation; metering; nonlinear control systems; traffic control; PARAMICS platform; control design; control simulations; iterative learning control; macroscopic level freeway environment; ramp metering problem; traffic flow; Automatic control; Communication system traffic control; Control systems; Coordinate measuring machines; Electric variables measurement; Feedback; Learning systems; Telecommunication traffic; Traffic control; Volume measurement; Flow control; Iterative learning; PARAMICS simulator; Ramp metering;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Automation, 2009. ICCA 2009. IEEE International Conference on

Conference_Location

Christchurch

Print_ISBN

978-1-4244-4706-0

Electronic_ISBN

978-1-4244-4707-7

Type

conf

DOI

10.1109/ICCA.2009.5410173

Filename

5410173