Please use this identifier to cite or link to this item:
|Title:||Fuzzy logic controller for freeway ramp metering with particle swarm optimization and PARAMICS simulation|
|Authors:||Xu, J. |
|Citation:||Xu, J.,Zhao, X.,Srinivasan, D. (2010). Fuzzy logic controller for freeway ramp metering with particle swarm optimization and PARAMICS simulation. 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 : -. ScholarBank@NUS Repository. https://doi.org/10.1109/FUZZY.2010.5584386|
|Abstract:||In this paper, two TS-type fuzzy logic controllers (FLC) in direct and incremental forms are constructed for freeway local ramp metering tasks. The values of consequent part of fuzzy rules are optimized with a particle swarm optimization algorithm (PSO). The optimization process under PSO is carried out on PARAMICS microscopic traffic simulation platform. FLC methods and the traditional ALINEA control method are examined and compared on the traffic density performance. Simulation results on PARAMICS show the applicability and efficiency of the proposed FLC. © 2010 IEEE.|
|Source Title:||2010 IEEE World Congress on Computational Intelligence, WCCI 2010|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 11, 2019
checked on Jan 12, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.