Implementation of dynamic fuzzy logic control of traffic light with accident detection and action system using iTraffic simulation Simulation
Traffic is one of the most common issues in the big cities around the world. Thus, develop and improve the traffic light control systems became the focus of recent studies. To solve the problem, we proposed a dynamic hybrid fuzzy logic control system, that is further branched into two separate...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English English |
| Published: |
Institute of Advanced Engineering and Science (IAES)
2018
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/63246/ http://irep.iium.edu.my/63246/ http://irep.iium.edu.my/63246/ http://irep.iium.edu.my/63246/1/11062-15019-1-PB.pdf http://irep.iium.edu.my/63246/13/63246%20mplementation%20of%20dynamic%20fuzzy%20logic%20control%20of%20traffic%20light%20SCOPUS.pdf |
| Summary: | Traffic is one of the most common issues in the big cities around the world.
Thus, develop and improve the traffic light control systems became the focus
of recent studies. To solve the problem, we proposed a dynamic hybrid fuzzy
logic control system, that is further branched into two separate systems: An
Accident Detection system and an Action system that is intended to solve the
congestion related to the vehicular traffic. The primary target of this paper is
to discuss the Action system, which depends on the Accident Detection
system. This paper explained the two parts of the Action system. It showed
the improvement of the Action system with %9.32 in total car crossed. It also
presented different scenarios using iTraffic simulation and description of
each scenario is displayed with details about the road variables and the
simulation results with and without the action system |
|---|