Traffic control process of expressway by fuzzy logic
Fuzzy Sets and Systems - Fuzzy Control
Freeway traffic control using fuzzy logic controllers
Information Sciences—Applications: An International Journal
Traffic signal control on similarity logic reasoning
Fuzzy Sets and Systems - Theme: Fuzzy control
A fuzzy logic controller for traffic junction signals
Information Sciences—Informatics and Computer Science: An International Journal
Expert Systems with Applications: An International Journal
Fuzzy logic hardware implementation for pneumatic control of one DOF pneumatic robot
MICAI'10 Proceedings of the 9th Mexican international conference on Artificial intelligence conference on Advances in soft computing: Part II
Designing an intelligent ontological system for traffic light control in isolated intersections
Engineering Applications of Artificial Intelligence
Swarm intelligence for traffic light scheduling: Application to real urban areas
Engineering Applications of Artificial Intelligence
Hi-index | 0.00 |
The objective of this study is to develop fuzzy logic based traffic junction light simulator system for design and smart traffic junction light controller purposes and also to observe its performance. Traffic junction simulator hardware is developed to overcome difficulties of working in a real environment and to easily test the performance of the controller. By using the traffic light simulator developed in this study, results of constant duration (conventional) traffic light controller and fuzzy logic based traffic light controller are compared where the vehicle inputs are supplied by the simulator. Statistical experimental results obtained from the implemented simulator show that the fuzzy logic traffic light controller dramatically reduced the waiting time at red lights since the controller adapts itself according to traffic density. It is obvious that the intelligent light controller is going to provide important advantages in terms of economics and environment.