On the public citation graph
Adaptive traffic signal control using fuzzy logic
0 signed · 74 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1109/25.69966openalex-snapshot
Optimizing networks of traffic signals in real time-the SCOOT method
inferredcites →https://doi.org/10.1109/t-vt.1980.23833openalex-snapshot
The Sydney coordinated adaptive traffic (SCAT) system philosophy and benefits
inferredcites →https://doi.org/10.1109/tsmc.1973.5408575openalex-snapshot
Outline of a New Approach to the Analysis of Complex Systems and Decision Processes
inferredcites →https://doi.org/10.1109/tsmc.1977.4309605openalex-snapshot
A Fuzzy Logic Controller for a Trafc Junction
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4045815openalex-extracted
Studying Various Techniques for Controlling Traffic Signals
inferred← citeshttps://doi.org/10.1007/0-306-48220-7_10openalex-snapshot
Fuzzy Traffic Signal Control
inferred← citeshttps://doi.org/10.1007/978-3-031-77719-6_1openalex-snapshot
An Introduction to Fuzzy Logic in Real Time Application Paradigm
inferred← citeshttps://doi.org/10.1007/978-3-540-39925-4_12openalex-snapshot
Towards Distributed Adaptive Control for Road Traffic Junction Signals using Learning Classifier Systems
inferred← citeshttps://doi.org/10.1007/978-3-540-87479-9_61openalex-snapshot
Multiagent Reinforcement Learning for Urban Traffic Control Using Coordination Graphs
inferred← citeshttps://doi.org/10.1007/978-3-642-11688-9_18openalex-snapshot
Traffic Light Control by Multiagent Reinforcement Learning Systems
inferred← citeshttps://doi.org/10.1007/978-3-7908-1783-6_7openalex-snapshot
Fuzzy Logic-Based Traffic Controller
inferred← citeshttps://doi.org/10.1007/978-981-96-6606-5_16openalex-snapshot
Agent Clustering and Information Sharing Underlying MADRQN for Traffic Light Cooperative Control
inferred← citeshttps://doi.org/10.1007/978-981-96-7249-3_20openalex-snapshot
Optimizing Traffic Flow in Traffic Signal Controlling System with AI ML
inferred← citeshttps://doi.org/10.1016/j.aej.2022.12.028openalex-snapshot
Fuzzy logic and deep Q learning based control for traffic lights
inferred← citeshttps://doi.org/10.1016/j.conengprac.2020.104525openalex-snapshot
Evaluating semi-cooperative Nash/Stackelberg Q-learning for traffic routes plan in a single intersection
inferred← citeshttps://doi.org/10.1016/j.egypro.2012.01.223openalex-snapshot
Fuzzy Neural Network Control Technique and Its Application in a Complex Intersection*
inferred← citeshttps://doi.org/10.1016/j.scient.2011.04.007openalex-snapshot
Formalized learning automata with adaptive fuzzy coloured Petri net; an application specific to managing traffic signals
inferred← citeshttps://doi.org/10.1016/j.trc.2007.09.004openalex-snapshot
Multi-objective signal control of urban junctions – Framework and a London case study
inferred← citeshttps://doi.org/10.1016/j.trc.2022.103991openalex-snapshot
Intelligent vehicle pedestrian light (IVPL): A deep reinforcement learning approach for traffic signal control
inferred← citeshttps://doi.org/10.1016/j.treng.2021.100054openalex-snapshot
Route optimization issues and initiatives in Bangladesh: The context of regional significance
inferred← citeshttps://doi.org/10.1016/s0165-0114(99)00034-2openalex-snapshot
Signal control using fuzzy logic
inferred← citeshttps://doi.org/10.1016/s0965-8564(98)00024-xopenalex-snapshot
Fuzzy logic systems for transportation engineering: the state of the art
inferred← citeshttps://doi.org/10.1016/s0968-090x(03)00032-9openalex-snapshot
Multi-agent fuzzy signal control based on real-time simulation
inferred← citeshttps://doi.org/10.1016/s0968-090x(99)00026-1openalex-snapshot
A two-stage fuzzy logic controller for traffic signals
inferred← citeshttps://doi.org/10.1016/s1570-6672(08)60080-xopenalex-snapshot
Review of the Fuzzy Logic Based Approach in Traffic Signal Control: Prospects in Saudi Arabia
inferred← citeshttps://doi.org/10.1061/40961(319)30openalex-snapshot
Signal Control for Oversaturated Intersections Using Fuzzy Logic
inferred← citeshttps://doi.org/10.1061/jccee5.cpeng-6780openalex-snapshot
A Deep Q-Learning Approach to Improve the Effects of Novice Drivers’ Driving Behavior at a Signalized Intersection
inferred← citeshttps://doi.org/10.1088/1361-6501/ad8212openalex-snapshot
Traffic signal phase control at urban isolated intersections: an adaptive strategy utilizing the improved D3QN algorithm
inferred← citeshttps://doi.org/10.1109/arso60199.2024.10557825openalex-snapshot
Navigating Mixed Traffic: Current State and Future Challenges in Integrating Autonomous and Human-Driven Vehicles
inferred← citeshttps://doi.org/10.1109/bmei.2015.7401577openalex-snapshot
The intelligent traffic control based on the Internet of Things
inferred← citeshttps://doi.org/10.1109/cec.2007.4424683openalex-snapshot
Multi-agent System based Urban Traffic Management
inferred← citeshttps://doi.org/10.1109/cinc.2009.245openalex-snapshot
Fuzzy Rule Based Traffic Signal Control System for Oversaturated Intersections
inferred← citeshttps://doi.org/10.1109/ecbios51820.2021.9510422openalex-snapshot
A Study on Deep Reinforcement Learning Based Traffic Signal Control for Mitigating Traffic Congestion
inferred← citeshttps://doi.org/10.1109/fuzz-ieee.2015.7338117openalex-snapshot
Hybrid algorithm: Fuzzy Logic-Genetic Algorithm on traffic light intelligent system
inferred← citeshttps://doi.org/10.1109/fuzzy.1997.619770openalex-snapshot
A fuzzy logic based phase controller for traffic control
inferred← citeshttps://doi.org/10.1109/fuzzy.2006.1681839openalex-snapshot
Control of Traffic Lights in High Complexity Intersections Using Hierarchical Interpolative Fuzzy Methods
inferred← citeshttps://doi.org/10.1109/icmlc.2003.1264556openalex-snapshot
Fuzzy-MOGA-based traffic signal control at intersection
inferred← citeshttps://doi.org/10.1109/icmss.2009.5301816openalex-snapshot
Research on the Method and Simulation of Intersection Signal Control Based on Multi-Agent
inferred← citeshttps://doi.org/10.1109/icnnb.2005.1614781openalex-snapshot
Fuzzy neural network control technique and its application in a complex intersection
inferred← citeshttps://doi.org/10.1109/icnsc.2005.1461256openalex-snapshot
Intelligent traffic signal system based on networked control
inferred← citeshttps://doi.org/10.1109/icsmc.2001.973106openalex-snapshot
Traffic signal control using fuzzy logic and MOGA
inferred← citeshttps://doi.org/10.1109/icsmc.2002.1175595openalex-snapshot
Control signal coordination of two adjacent traffic intersections
inferred← citeshttps://doi.org/10.1109/icsmc.2002.1176398openalex-snapshot
Changeable phases signal control of an isolated intersection
inferred← citeshttps://doi.org/10.1109/indiacom.2014.6828157openalex-snapshot
Design and simulation of power efficient traffic light controller (PTLC)
inferred← citeshttps://doi.org/10.1109/infocomwkshps51825.2021.9484451openalex-snapshot
Engineering A Large-Scale Traffic Signal Control: A Multi-Agent Reinforcement Learning Approach
inferred← citeshttps://doi.org/10.1109/itsc.2003.1252078openalex-snapshot
Research on traffic signal control based on intelligence techniques
inferred← citeshttps://doi.org/10.1109/itsc.2008.4732672openalex-snapshot
Interactive Signal Control for Over-saturated Arterial Intersections Using Fuzzy Logic
inferred← citeshttps://doi.org/10.1109/jsyst.2022.3211933openalex-snapshot
SDN Control-Enabled and Time-Quantum-Driven Max-Pressure Approach for Intersection Management in Smart City
inferred← citeshttps://doi.org/10.1109/nafips.2001.943682openalex-snapshot
Fuzzy adaptive traffic signal control-principles and results
inferred← citeshttps://doi.org/10.1109/nafips.2010.5548184openalex-snapshot
Traffic Signal Control with Adaptive Fuzzy Coloured Petri Net Based on Learning Automata
inferred← citeshttps://doi.org/10.1109/sustech51236.2021.9467450openalex-snapshot
A Deep Reinforcement Learning Approach to Traffic Signal Control
inferred← citeshttps://doi.org/10.1109/tcss.2025.3608812openalex-snapshot
Exploring Spatial–Temporal Correlations With Dual Stream Conv-GRU and Fuzzy-Inspired Attention Mechanism for Traffic Flow Prediction
inferred← citeshttps://doi.org/10.1109/tensymp55890.2023.10223639openalex-snapshot
Deep Reinforcement Learning based Intelligent Traffic Control
inferred← citeshttps://doi.org/10.1109/tits.2021.3067057openalex-snapshot
Traffic Signal Control Using End-to-End Off-Policy Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/tits.2024.3410023openalex-snapshot
Learning Multi-Intersection Traffic Signal Control via Coevolutionary Multi-Agent Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/tits.2024.3462153openalex-snapshot
Traffic Signal Cycle Control With Centralized Critic and Decentralized Actors Under Varying Intervention Frequencies
inferred← citeshttps://doi.org/10.1109/tkde.2022.3232711openalex-snapshot
MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control
inferred← citeshttps://doi.org/10.1109/wcica.2008.4593013openalex-snapshot
Design of an adaptive fuzzy logic controller for traffic signals
inferred← citeshttps://doi.org/10.1155/2015/378156openalex-snapshot
A Hybrid Fuzzy Genetic Algorithm for an Adaptive Traffic Signal System
inferred← citeshttps://doi.org/10.17226/22690openalex-snapshot
Artificial Intelligence Applications to Critical Transportation Issues
inferred← citeshttps://doi.org/10.17586/2713-1874-2022-4-58-65openalex-snapshot
Penayev G.M. Hydyrov R.B., Meredov S.O., Shyhyyev Sh.A. Adaptive Control Systems for Transport Infrastructure Facilities
inferred← citeshttps://doi.org/10.17587/mau.25.362-371openalex-snapshot
Methods for Selecting Linguistic Variables in the Fuzzy Traffi c Light Control System
inferred← citeshttps://doi.org/10.23919/acc50511.2021.9482768openalex-snapshot
A Physics-Based Finite-State Abstraction for Traffic Congestion Control
inferred← citeshttps://doi.org/10.23919/ecc55457.2022.9838036openalex-snapshot
A Continuous-Time Optimal Control Approach to Congestion Control
inferred← citeshttps://doi.org/10.2478/s13531-013-0101-1openalex-snapshot
Coordinated signal control for arterial intersections using fuzzy logic
inferred← citeshttps://doi.org/10.3141/1651-05openalex-snapshot
Application of Fuzzy Logic to the Control of a Pedestrian Crossing Signal
inferred← citeshttps://doi.org/10.31590/ejosat.1012557openalex-snapshot
Fuzzy Logic Control Automation for Traffic Signalization System
inferred← citeshttps://doi.org/10.3182/20120912-3-bg-2031.00023openalex-snapshot
Fuzzy Traffic Controller for Urban Intersection Developed in Simulink/SimEvents
inferred← citeshttps://doi.org/10.34626/pc8x-8a91openalex-snapshot
Identificar e testar técnicas baseadas em redes neuronais e lógica difusa para o controlo de semáforos em tráfego urbano
inferred← citeshttps://doi.org/10.7250/tcc.2015.005openalex-snapshot
Aspects of Foundation of Knowledge Base in Decision-Making Tasks for the Needs of Intellectual Robots
inferred← citeshttps://doi.org/10.7551/mitpress/3242.003.0048openalex-snapshot
Evolving Control Laws for a Network of Traffic Signals
inferred← citeshttps://doi.org/10.7763/ijcee.2013.v5.682openalex-snapshot
Control of Traffic Light in Isolated Intersections Using Fuzzy Neural Network and Genetic Algorithm
inferred← citeshttps://doi.org/10.9790/0661-16363644openalex-snapshot
Development of Intelligent Traffic Light System Based On Congestion Estimation Using Fuzzy Logic
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.