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.

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.

Optimalisasi Lampu Lalu Lintas dengan Fuzzy Logic

2013 ◽  
Vol 5 (2) ◽  
pp. 58-62 ◽  
Author(s):  
Adhitya Yoga Yudanto ◽  
Marvin Apriyadi ◽  
Kevin Sanjaya
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Fuzzy Inference ◽  
System Control ◽  
Light Control ◽  
Traffic Light ◽  
Inference System ◽  
Traffic Lights ◽  
The Road ◽  
Traffic Light Control

The traffic lights problem is already commonly found in large cities. The traffic lights are supposed to control the flow of the road, but sometimes causes a congestion. This happens because the distribution of the time are all the same for all lines, without seeing the condition of the density of each lane. There’s one effort that can be done to overcome this problem, is to create a traffic light control system. With this system, the congestion that occurs around the traffic lights can be reduced. This system is using fuzzy logic. Fuzzy logic is one of computer science that studies about the value of truth that worth a lot. For example, a air conditioning system control subway Sendai in Japan. As for making a traffic light control system, the author using Fuzzy Inference System (FIS) that already exist in the application of MATLAB R2013a with Mamdani method. Index Terms —fuzzy logic, traffic lights, MATLAB.

scholarly journals Optimization of Traffic Light Control Using Fuzzy Logic Sugeno Method

2020 ◽  
Vol 1 (2) ◽  
pp. 51-61
Author(s):  
Ria Yuliani Kartikasari
Keyword(s):  
Fuzzy Logic ◽  
Green Light ◽  
Major Influence ◽  
Traffic Light ◽  
The Road ◽  
Traffic Conditions ◽  
Smooth Flow ◽  
Traffic Light Control ◽  
Light Duration ◽  
On The Road

Congestion is one of the big problems around the world, especially for big cities. Intersections are the scene of congestion because the lane is the meeting point of two or more roads which has a major influence on the smooth flow of vehicles on the road network. This congestion occurs due to various factors, one of which is the statistical traffic light duration, which does not match traffic conditions. Based on this, there needs to be a development in the timing of a more adaptive green light. This study describes the design of a traffic light controller using the Sugeno method fuzzy logic. This study aims to design a green light duration calculation by applying fuzzy logic that results in adaptive traffic light duration at intersections, by entering the density of each intersection path, which is divided into 4 inputs, namely regulated lane density, opposing lane density I, and opposite lane density. II, the density of the opposite lane III, with the aim of the system being able to produce a duration that is in accordance with the current traffic situation with an output in the form of a green light duration on the regulated lane.

scholarly journals An Embedded Fuzzy Logic Based Application for Density Traffic Control System

2018 ◽  
Vol 2 (1) ◽  
pp. 6 ◽  
Author(s):  
Ajao Lukman Adewale ◽  
Ajao Falilat Jumoke ◽  
Mutiu Adegboye ◽  
Abideen Ismail
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Traffic Control ◽  
Detection System ◽  
Processing Unit ◽  
Traffic Light ◽  
The Road ◽  
Emergency Situations ◽  
Road Users ◽  
Traffic Control System

The control of density traffic at cross junction road usually manned by human efforts or implementation of automatic traffic light system. This system seem and proves to be inefficient with some challenges. The major constraints of this traffic control are as a result of the inability of most traffic control systems to assign appropriate waiting time for vehicles based on the lane density. Also with little or no consideration for pedestrians, emergency and security agents priorities. In view of this, an intelligent density traffic control system using  (fuzzy logic) which is capable of providing priority to the road users based on the density and emergency situations was developed and presented in this paper. This system will obtain the approximate amount of vehicle and presence of pedestrians respectfully on each lane with help of Infrared Sensors (IR) and siren detection system for emergency and security road users. The working principle of this system depending on the logic inputs rules given into the processing unit by the (sensors, S1 and S2) which helps the system to generates a timing sequence that best suit the number of vehicles and pedestrians available on the lane at point in time.

ANALYSIS OF THE EFFECTIVENESS OF MIXED BRAKING WITH FUZZY LOGIC CONTROL DURING THE OPERATION OF THE ANTI-LOCK BRAKING SYSTEM OF AN ELECTRIC VEHICLE

2021 ◽  
Vol 75 (4) ◽  
pp. 13-19
Author(s):  
Umnitsyn Artem Alexeyevich ◽  
◽  
Bakhmutov Sergey Vasilyevich ◽  
Yakimovich Boris Anatolyevich ◽  
Kakushina Elena Gennadievna ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Electric Vehicle ◽  
Fuzzy Logic Control ◽  
Front Axle ◽  
Torque Control ◽  
The Road ◽  
Braking System ◽  
Logic Control ◽  
Wheel Drive ◽  
Braking Torque

The article discusses the process of braking an all-wheel drive electric vehicle with an indi-vidual drive of the driving wheels with a different coefficient of adhesion of tires to the road along the sides of the electric vehicle. A feature of this work is the use of fuzzy logic in the braking torque control system by the actuators of the front axle of the vehicle. Based on the results of the study, it was concluded that the proposed type of control is preferable in comparison with the control of only one actuator - the brake mechanism.

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