Fuzzy logic implementation for the real-time control of an arterial traffic system

Clicks: 1
ID: 286701
2004
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal

Ranked #3,257 of 3,757 articles by views in Malay Journal

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 3,757 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
This thesis verifies the parameter optimization capability of fuzzy logic based algorithm on the real-time control of traffic signal. A fuzzy logic controller was developed for the control of an arterial traffic signal system consisting of three successive intersections with three-phase and four-phase traffic plan. Computer simulation was conducted to test and fine-tune the fuzzy logic controller. Testing and analysis was done by varying the traffic flow from non-congested to congested conditions. The performances of fuzzy logic controller in isolated mode and hybrid mode were compared using average delay per vehicle and link queue as criteria. Results show that the controller developed was able to adjust to the changing conditions of the traffic environment and optimizes the traffic signal parameters in both isolated and hybrid mode. The hardware integration of the fuzzy logic software in isolated mode to a miniature model of one intersection show that the fuzzy logic controller was adaptive to the changing traffic condition and effective in the real-time control of the traffic signal.
Reference Key
persistent_1760659383_68f187b7d13f2 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Deang, Eduardo Mendoza
Journal Malay Journal
Year 2004
DOI
DOI not found
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.