Data structures using Pascal
Fuzzy sets, uncertainty, and information
Fuzzy sets, uncertainty, and information
Traffic control process of expressway by fuzzy logic
Fuzzy Sets and Systems - Fuzzy Control
Design of a real-time fuzzy controller for hydraulic servo systems
Computers in Industry
Freeway traffic control using fuzzy logic controllers
Information Sciences—Applications: An International Journal
Neural Networks
Expert Systems: Design and Development
Expert Systems: Design and Development
Expert Systems: Principles and Programming
Expert Systems: Principles and Programming
Comparative tests of solution methods for signal-controlled road networks
Information Sciences: an International Journal
Fuzzy logic based smart traffic light simulator design and hardware implementation
Applied Soft Computing
Expert Systems with Applications: An International Journal
AAIM'05 Proceedings of the First international conference on Algorithmic Applications in Management
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In this paper a fuzzy logic based traffic junction signal controller (FTJSC) is presented. In order to design a more practical controller, we simulated an environment that meets the traffic situations more than ever. This environment is generalized by considering the number of consecutive junctions, the number of lanes, the lengths of vehicles, and the lengths of streets. Compared with existing studies, the proposed fuzzy controller has the following characteristics: different input variables, lower inference frequency, fewer control rules (9 rules), and correlating each junction with others. It is applicable to multiple junctions and multiple lanes without any modification. The experimental results with low, medium and high traffic loads confirm the performance of the proposed FTJSC.