Date of Publication

2004

Document Type

Master's Thesis

Degree Name

Master of Science in Manufacturing Engineering

Subject Categories

Engineering | Manufacturing

College

Gokongwei College of Engineering

Department/Unit

Manufacturing Engineering and Management

Thesis Adviser

Elmer Jose P. Dadios

Defense Panel Chair

Oscar G. Unas

Defense Panel Member

Edwin Sybingco
Laurence A. Gan Lim

Abstract/Summary

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.

Abstract Format

html

Language

English

Format

Electronic

Accession Number

CDTG003732

Shelf Location

Archives, The Learning Commons, 12F Henry Sy Sr. Hall

Physical Description

1 computer optical disc ; 4 3/4 in.

Keywords

Automatic control; Fuzzy systems; Traffic signs and signals; Electronic traffic controls

Upload Full Text

wf_yes

Share

COinS