Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/83361
Title: A learning approach for freeway traffic control
Authors: Xu, J.-X. 
Xing, Y.
Issue Date: 2005
Citation: Xu, J.-X.,Xing, Y. (2005). A learning approach for freeway traffic control. Proceedings of the 5th International Conference on Control and Automation, ICCA'05 : 887-892. ScholarBank@NUS Repository.
Abstract: In this work, several learning control algorithms are developed to regulate freeway density and flow under a macroscopic level freeway environment. A detailed analysis on the traffic model adopted in this work is first conducted. Next, to regulate the traffic density and flow, learning control method is used based on the repeatability of daily traffic patterns. The regulation is achieved either through ramp metering or speed control. Finally simulations are conducted to verify the efficacy of the proposed control algorithms. © 2005 IEEE.
Source Title: Proceedings of the 5th International Conference on Control and Automation, ICCA'05
URI: http://scholarbank.nus.edu.sg/handle/10635/83361
ISBN: 0780391381
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

35
checked on Aug 17, 2018

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.