scholarly journals Accident Detection Traffic Light System with Dynamic Fuzzy Logic Control Using FuzzyTech Program and iTraffic Simulation

2015 ◽  
Vol 1 (1) ◽  
Author(s):  
Faisal AlAwadhi ◽  
Mohammed Ali Yousef ◽  
Abdulrahman Al-Kandari
Keyword(s):  
Fuzzy Logic ◽  
Hybrid System ◽  
Detection System ◽  
Traffic Signal Control ◽  
Traffic Light ◽  
Action System ◽  
Logic Control ◽  
Fuzzy Logic Theory ◽  
Traffic Signal Control Systems ◽  
Accident Detection

The development of traffic signal control systems has become one of the most important topics in this era. Traffic light controllers need to be improved continuously to solve the traffic problems. This paper discussed the proposed hybrid system and demonstrated how the system works from the beginning of the first flag “decrease of cross ratio” until the end of the action system. The proposed system was divided into three main parts: The proposed algorithm (Dynamic Webster with dynamic Cycle Time), Accident Detection System using fuzzy logic theory and Action System depending on Detection System. The focus of this paper is to discuss the accident detection system of the proposed hybrid system, which depended on fuzzy logic and its components. This paper also presented the results of FuzzyTech Software with different scenarios plotting the inputs outputs and the showcases the 3D plot for each one of them for detecting the accident. In addition, it presented results to measure the False Alarm Rate the Accident Detection Rate using FuzzyTech program.

scholarly journals Implementation of Dynamic Fuzzy Logic Control of Traffic Light with Accident Detection and Action System using iTraffic Simulation

2018 ◽  
Vol 10 (1) ◽  
pp. 100 ◽  
Author(s):  
Abdulrahman Abdullah Alkandari ◽  
Imad Fakhri Al-Shaikhli
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Detection System ◽  
Traffic Light ◽  
The Road ◽  
Action System ◽  
Logic Control ◽  
Traffic Light Control ◽  
Dynamic Hybrid ◽  
Accident Detection

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.

Accident detection and action system using fuzzy logic theory

2013 ◽  
Author(s):  
Abdulrahman Alkandari ◽  
Imad Fakhri Al-Shaikhli ◽  
Anas Najaa ◽  
Meshari Aljandal
Keyword(s):  
Fuzzy Logic ◽  
Action System ◽  
Fuzzy Logic Theory ◽  
Accident Detection

A Real-Time Fuzzy Logic Based Accident Detection System in VANET Environment

2021 ◽  
pp. 685-696
Author(s):  
Anita Mohanty ◽  
Subrat Kumar Mohanty ◽  
Bhagyalaxmi Jena
Keyword(s):  
Fuzzy Logic ◽  
Real Time ◽  
Detection System ◽  
Accident Detection

A study of photovoltaic/thermal (PVT)-ground source heat pump hybrid system by using fuzzy logic control

2015 ◽  
Vol 89 ◽  
pp. 578-586 ◽  
Author(s):  
S. Andrew Putrayudha ◽  
Eun Chul Kang ◽  
E. Evgueniy ◽  
Y. Libing ◽  
Euy Joon Lee
Keyword(s):  
Fuzzy Logic ◽  
Heat Pump ◽  
Hybrid System ◽  
Fuzzy Logic Control ◽  
Ground Source Heat Pump ◽  
Logic Control ◽  
Ground Source
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