Please use this identifier to cite or link to this item: https://doi.org/10.1109/CIVTS.2013.6612286
Title: Freeway ramp metering by macroscopic traffic scheduling with particle swarm optimization
Authors: Zhao, X.
Xu, J. 
Srinivasan, D. 
Issue Date: 2013
Source: Zhao, X.,Xu, J.,Srinivasan, D. (2013). Freeway ramp metering by macroscopic traffic scheduling with particle swarm optimization. Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, CIVTS 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013 : 32-37. ScholarBank@NUS Repository. https://doi.org/10.1109/CIVTS.2013.6612286
Abstract: In this paper, the networked freeway ramp metering problem is addressed using a novel macroscopic traffic scheduling approach. In the proposed method, reference mainstream densities are macroscopically scheduled for each local ramp metering controller. These reference density signals are tracked by the corresponding local controllers using the feedback based algorithm. The considered time is divided into macroscopic time periods. Within each period, reference mainstream density signals are scheduled for local controllers. The optimal networked ramp metering problem is considered as an optimization problem, where these reference signals are regarded as decision variables. The particle swarm optimization (PSO) algorithm is used to find the optimal reference signals, which minimizes the total time spent (TTS) by vehicles within the whole network. The efficiency of the proposed method is demonstrated in case studies. Furthermore, the proposed approach has the advantages of structural simplicity and low implementation cost, and the capability of local feedback based strategy in dealing with realtime traffic conditions is retained. © 2013 IEEE.
Source Title: Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, CIVTS 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013
URI: http://scholarbank.nus.edu.sg/handle/10635/70375
ISBN: 9781467359139
DOI: 10.1109/CIVTS.2013.6612286
Appears in Collections:Staff Publications

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

SCOPUSTM   
Citations

2
checked on Dec 13, 2017

Page view(s)

27
checked on Dec 9, 2017

Google ScholarTM

Check

Altmetric


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