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Fuzzy logic and deep Q learning based control for traffic lights
Ilhan Tunc
*
,
Mehmet Turan Soylemez
*
Corresponding author for this work
Department of Control and Automation Engineering
Bursa Teknik University
Istanbul Technical University
Research output
:
Contribution to journal
›
Article
›
peer-review
17
Citations (Scopus)
Overview
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Keyphrases
Agent-based
33%
Air Pollution
33%
Big Cities
33%
Congestion Problems
33%
Control Method
66%
Deep Q-learning
100%
Deep Q-learning Algorithm
33%
Environmental Issues
33%
Fuzzy Logic
100%
Fuzzy Logic Control
33%
High Traffic
33%
Intelligent Traffic Control
33%
Learning Control
100%
Metropolis
33%
New Agents
33%
Signal Timing
33%
Time Lost
33%
Traffic Congestion
100%
Traffic Density
33%
Traffic Flow
33%
Traffic Intersection
66%
Traffic Light Control
33%
Traffic Lights
100%
Traffic Signal Light
33%
Waiting Time
33%
Computer Science
Air Pollution
50%
Congestion Problem
50%
Control Method
100%
Conventional Method
50%
Fuzzy Control
50%
Fuzzy Logic
100%
Learning Algorithm
50%
Traffic Control
50%