Enhancing the performance of existing urban traffic light control through extremum-seeking

Kutadinata, Ronny, Moase, Will, Manzie, Chris, Zhang, Lele and Garoni, Tim 2016, Enhancing the performance of existing urban traffic light control through extremum-seeking, Transportation research part C: emerging technologies, vol. 62, pp. 1-20, doi: 10.1016/j.trc.2015.10.016.

Attached Files
Name Description MIMEType Size Downloads

Title Enhancing the performance of existing urban traffic light control through extremum-seeking
Author(s) Kutadinata, RonnyORCID iD for Kutadinata, Ronny orcid.org/0000-0002-1485-4993
Moase, Will
Manzie, Chris
Zhang, Lele
Garoni, Tim
Journal name Transportation research part C: emerging technologies
Volume number 62
Start page 1
End page 20
Total pages 20
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2016-01
ISSN 0968-090X
Keyword(s) Extremum-seeking
Adaptive control
Traffic control
Online calibration
Language eng
DOI 10.1016/j.trc.2015.10.016
Indigenous content off
Field of Research 09 Engineering
08 Information and Computing Sciences
15 Commerce, Management, Tourism and Services
HERDC Research category C1.1 Refereed article in a scholarly journal
Copyright notice ©2015, Elsevier Ltd.
Persistent URL http://hdl.handle.net/10536/DRO/DU:30128169

Document type: Journal Article
Collection: Faculty of Science, Engineering and Built Environment
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 10 times in TR Web of Science
Scopus Citation Count Cited 13 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 13 Abstract Views, 4 File Downloads  -  Detailed Statistics
Created: Tue, 23 Jul 2019, 10:47:50 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.