Centroid of a type-2 fuzzy set
Information Sciences: an International Journal
Three approaches to the coordination of multiagent systems
Proceedings of the 2002 ACM symposium on Applied computing
Multiagent Systems: A Survey from a Machine Learning Perspective
Autonomous Robots
A Roadmap of Agent Research and Development
Autonomous Agents and Multi-Agent Systems
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Learning in multi-agent systems
The Knowledge Engineering Review
Ontology-based intelligent decision support agent for CMMI project monitoring and control
International Journal of Approximate Reasoning
New geometric inference techniques for type-2 fuzzy sets
International Journal of Approximate Reasoning
A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence
A Concise Introduction to Multiagent Systems and Distributed Artificial Intelligence
Exploring e-learning knowledge through ontological memetic agents
IEEE Computational Intelligence Magazine
Learning in multi-agent systems
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Distributed geometric fuzzy multiagent urban traffic signal control
IEEE Transactions on Intelligent Transportation Systems
An Agent-Based Test Bed Study of Wholesale Power Market Performance Measures
IEEE Computational Intelligence Magazine
Cooperative, hybrid agent architecture for real-time traffic signal control
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Fuzzy Systems
Markovian real-time adaptive control of signal systems
Mathematical and Computer Modelling: An International Journal
Neural Networks for Continuous Online Learning and Control
IEEE Transactions on Neural Networks
Review: Multi-agent systems for protecting critical infrastructures: A survey
Journal of Network and Computer Applications
A multi-agent system for obtaining dynamic origin/destination matrices on intelligent road networks
Proceedings of the 6th Euro American Conference on Telematics and Information Systems
An ontology-based semantic service for cooperative urban equipments
Journal of Network and Computer Applications
An agent-based model for simulation of traffic network status
SEAL'12 Proceedings of the 9th international conference on Simulated Evolution and Learning
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Multi-agent system is a rapidly developing field of distributed artificial intelligence that has gained significant importance because of its ability to solve complex real-world problems. It provides a highly flexible and modular structure, which incorporates the domain expertise in the system, to achieve the optimal solution. Multiagent system also allows a problem to be divided into smaller sub-problems that require less domain expertise compared to solving the problem as a whole. In recent years, multi-agent system has gained significant attention in solving traffic signal control problems because of the advantages it offers in solving complex problems with uncertainties. In this paper, two different types of multiagent architectures that have been implemented on a simulated complex urban traffic network in Singapore for adaptive intelligent signal control are discussed. The results obtained indicate the superior performance of the multiagent signal controller in comparison to pre-timed and signal control methods which are currently in use.