Full metadata record
DC FieldValueLanguage
dc.contributorDepartment of Electrical Engineeringen_US
dc.creatorHeung, Tsan-hing-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/3694-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic University-
dc.rightsAll rights reserveden_US
dc.titleDecentralized artificial intelligent traffic controlen_US
dcterms.abstractA generic decentralized traffic junction controller using artificial intelligence is constructed. The controller is simple in structure and does not require any geographic knowledge of the junction. Each junction has a decentralized traffic junction controller that can be connected together to form traffic network control. Number of controllers can join together to form a large network. The controller consists of 3 modules, a local decision module, an optimization module and a junction coordination module. The local decision module is a fuzzy controller with a hierarchical structure. The optimization module use Genetic Algorithms to generate fuzzy rules for the local decision module. The junction coordination module adopts real time dynamic programming to obtain coordinated result. Several optimization techniques are used to enhance the performance of the controller, such as hierarchy and time alignment. Cross-junction with turning traffic is modeled. Computer simulation is used to evaluate the performance of the controller against fixed-time approach. The controller can improve up to 20% and 8% for single and multiple junction environments respectively. Other approaches that can further improve the controller are also discussed at the end.en_US
dcterms.extent129 leaves : ill. ; 30 cmen_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued2001en_US
dcterms.educationalLevelAll Masteren_US
dcterms.educationalLevelM.Phil.en_US
dcterms.LCSHTraffic engineeringen_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.accessRightsopen accessen_US

Files in This Item:
File Description SizeFormat 
b15630857.pdfFor All Users3.83 MBAdobe PDFView/Open


Copyright Undertaking

As a bona fide Library user, I declare that:

  1. I will abide by the rules and legal ordinances governing copyright regarding the use of the Database.
  2. I will use the Database for the purpose of my research or private study only and not for circulation or further reproduction or any other purpose.
  3. I agree to indemnify and hold the University harmless from and against any loss, damage, cost, liability or expenses arising from copyright infringement or unauthorized usage.

By downloading any item(s) listed above, you acknowledge that you have read and understood the copyright undertaking as stated above, and agree to be bound by all of its terms.

Show simple item record

Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/3694