TRAFFIC LIGHT CONTROL BASED ON FUZZY Q_LEARNING

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Moghaddam Marjan Jalali; Hosseini Matin; SAFABAKHSH REZA

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL SYMPOSIUM ON ARTIFICIAL INTELLIGENCE AND SIGNAL PROCESSING (AISP)
Year:2015 | Issue:1

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Title

TRAFFIC LIGHT CONTROL BASED ON FUZZY Q_LEARNING

Author(s)

Moghaddam Marjan Jalali | Hosseini Matin | SAFABAKHSH REZA | Issue Writer Certificate

Keywords

FUZZY LOGIC

FUZZY Q-LEARNING

TRAFFIC LIGHT CONTROL

Abstract

TRAFFIC IS AN ISSUE THAT MANY BIG CITIES ARE CONFRONTED WITH BECAUSE OF EVER-INCREASING POPULATION GROWTH. IN THIS PAPER WE PROPOSE A TWO PHASE TRAFFIC LIGHT CONTROL SYSTEM BASED ON FUZZY Q-LEARNING FOR AN ISOLATED 4-WAY INTERSECTION. THE STATES AND ACTIONS OF THE Q-LEARNING VARIABLES IS SET BY A FUZZY ALGORITHM WHICH CAN BE LEARNED THROUGH ENVIRONMENTAL INTERACTIONS AND TAKING ADVANTAGE OF FUZZY LOGIC. THE PROPOSED ALGORITHM WAS SIMULATED FOR A PERIOD OF ONE HOUR FOR EACH OF 14 DIFFERENT TRAFFIC CONDITIONS. COMPARISON WITH OTHER METHODS WAS CARRIED OUT ON THE 14 TRAFFIC CONDITIONS. THE RESULTS SHOWED THAT THE PROPOSED ALGORITHMS DECREASE THE TOTAL WAITING TIME AND THE MEAN OF QUEUE LENGTH. ...

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APA: Copy

Moghaddam, Marjan Jalali, Hosseini, Matin, & SAFABAKHSH, REZA. (2015). TRAFFIC LIGHT CONTROL BASED ON FUZZY Q_LEARNING. INTERNATIONAL SYMPOSIUM ON ARTIFICIAL INTELLIGENCE AND SIGNAL PROCESSING (AISP). SID. https://sid.ir/paper/927445/en

Vancouver: Copy

Moghaddam Marjan Jalali, Hosseini Matin, SAFABAKHSH REZA. TRAFFIC LIGHT CONTROL BASED ON FUZZY Q_LEARNING. 2015. Available from: https://sid.ir/paper/927445/en

IEEE: Copy

Marjan Jalali Moghaddam, Matin Hosseini, and REZA SAFABAKHSH, “TRAFFIC LIGHT CONTROL BASED ON FUZZY Q_LEARNING,” presented at the INTERNATIONAL SYMPOSIUM ON ARTIFICIAL INTELLIGENCE AND SIGNAL PROCESSING (AISP). 2015, [Online]. Available: https://sid.ir/paper/927445/en

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