Type-2 fuzzy logic based urban traffic management

Authors:
P. G. Balaji;D. Srinivasan
Affiliations:
Department of Electrical and Computer Engineering, National University of Singapore, 10 Kent Ridge Crescent, Singapore 119260, Singapore;Department of Electrical and Computer Engineering, National University of Singapore, 10 Kent Ridge Crescent, Singapore 119260, Singapore
Venue:
Engineering Applications of Artificial Intelligence
Year:
2011

Citing 11
Cited 3

Applications of type-2 fuzzy logic systems to forecasting of time-series

Information Sciences—Informatics and Computer Science: An International Journal
Centroid of a type-2 fuzzy set

Information Sciences: an International Journal
A Multiagent System for Optimizing Urban Traffic

IAT '03 Proceedings of the IEEE/WIC International Conference on Intelligent Agent Technology
A Distributed Approach for Coordination of Traffic Signal Agents

Autonomous Agents and Multi-Agent Systems
Neural Networks for Real-Time Traffic Signal Control

IEEE Transactions on Intelligent Transportation Systems
A Novel Signal-Scheduling Algorithm With Quality-of-Service Provisioning for an Isolated Intersection

IEEE Transactions on Intelligent Transportation Systems
Distributed and cooperative fuzzy controllers for trafficintersections group

IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Cooperative, hybrid agent architecture for real-time traffic signal control

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Type-2 fuzzy logic systems

IEEE Transactions on Fuzzy Systems
Uncertainty bounds and their use in the design of interval type-2 fuzzy logic systems

IEEE Transactions on Fuzzy Systems
Interval Type-2 Fuzzy Logic Systems Made Simple

IEEE Transactions on Fuzzy Systems

A survey-based type-2 fuzzy logic system for energy management in hybrid electrical vehicles

Information Sciences: an International Journal
Fuzzy optimal schedule of high speed train operation to minimize energy consumption with uncertain delays and driver's behavioral response

Engineering Applications of Artificial Intelligence
One-way urban traffic reconfiguration using a multi-objective harmony search approach

Expert Systems with Applications: An International Journal

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper presents a multi-agent system based on type-2 fuzzy decision module for traffic signal control in a complex urban road network. The distributed agent architecture using type-2 fuzzy set based controller was designed for optimizing green time in a traffic signal to reduce the total delay experienced by vehicles. A section of the Central Business District of Singapore simulated using PARAMICS software was used as a test bed for validating the proposed agent architecture for the signal control. The performance of the proposed multi-agent controller was compared with a hybrid neural network based hierarchical multi-agent system (HMS) controller and real-time adaptive traffic controller (GLIDE) currently used in Singapore. The performance metrics used for evaluation were total mean delay experienced by the vehicles to travel from source to destination and the current mean speed of vehicles inside the road network. The proposed multi-agent signal control was found to produce a significant improvement in the traffic conditions of the road network reducing the total travel time experienced by vehicles simulated under dual and multiple peak traffic scenarios.