Design optimization traffic light timing using the fuzzy logic at a Diphasic's Isolated intersection

2014 ◽  
Vol 27 (4) ◽  
pp. 1609-1620 ◽  
Author(s):  
Hamid Saadat Talab ◽  
Hadiseh Mohammadkhani
Keyword(s):  
Fuzzy Logic ◽  
Design Optimization ◽  
Traffic Light ◽  
Isolated Intersection

scholarly journals REVIEW AND THE STATE OF THE ART PADA PERSIMPANGAN BERSINYAL DENGAN MODEL FUZZY LOGIC

2016 ◽  
Vol 18 (2) ◽  
Author(s):  
Moch. Duddy Studyana
Keyword(s):  
Fuzzy Logic ◽  
Delay Time ◽  
State Of The Art ◽  
Fixed Time ◽  
The State ◽  
Time Signal ◽  
Traffic Light ◽  
Isolated Intersection

Masalah klasik kondisi lalu-lintas perkotaan adalah sering timbulnya kemacetan (jam), antrian (queue), penurunan kapasitas simpang (drop capacity) dan waktu tunggu (delay time) yang lama saat melewati persimpangan. Keberhasilan dalam menangani suatu persimpangan akan menjadikan tolok ukur guna mengevaluasi kinerja simpang (intersection performance). Kenyataan yang terjadi dilapangan pengaturan sinyal lalu-lintas (traffic light) seringkali dilakukan dengan melibatkan berdasarkan variabel yang bersifat numerik atau kuantitatif, padahal variabel yang bersifat linguistik atau kualitatif sering diabaikan dan ada kecenderungan tidak pernah dipertimbangkan. Ternyata penggunaan model fuzzy logic dapat memberikan kontribusi cukup besar dalam menangani kondisi persimpangan bersinyal, terutama pada penelitian ini dievaluasi terhadap waktu sinyal tetap (fixed time signal) dan simpang yang terisolasi (isolated intersection), karena dapat melibatkan analisa kombinasi variabel numerik dan linguistik. Hasil review dan penelaahan secara the state of the art dari beberapa penelitian terdahulu, diharapkan akan menjadi terobosan baru untuk memberikan solusi terbaik bagi pengaturan sinyal lalu-lintas, khususnya simpang terisolasi yang berada di Indonesia.

Improving Traffic Light Control by Means of Fuzzy Logic

2018 ◽  
Author(s):  
Alan Vogel ◽  
Izidor Oremovic ◽  
Robert Simic ◽  
Edouard Ivanjko
Keyword(s):  
Fuzzy Logic ◽  
Light Control ◽  
Traffic Light ◽  
Traffic Light Control

An Advanced Fuzzy Logic Based Traffic Controller

2014 ◽  
Vol 5 (1) ◽  
pp. 31-40
Author(s):  
Bilal Ahmed Khan ◽  
Nai Shyan Lai
Keyword(s):  
Image Processing ◽  
Fuzzy Logic ◽  
Traffic Management ◽  
Fuzzy Logic Controller ◽  
Current Model ◽  
Traffic Signals ◽  
Processing Technique ◽  
Urban Traffic ◽  
Image Processing Technique ◽  
Traffic Light

Traffic light plays an important role in the urban traffic management. Therefore, it is necessary to improve the traffic controller for effective traffic management and better traffic flow leading to greener environment. In this paper, an advanced and intelligent traffic light controller is proposed, utilising the fuzzy logic technology and image processing technique. A fuzzy logic control has been implemented to provide the attribute of intelligence to the system. For real-time image acquisition, the process is further linked to the fuzzy logic controller which generates a unique output for each input pattern. Here image processing and fuzzy logic tool boxes of MATLAB are used where the final output is sent to Peripheral Interface Controller (PIC) microcontroller to drive the traffic signals in the desired manner. The results obtained show an improvement of 44% in the overall outcome of traffic management as compared to the conventional traffic controller, marking great feasibility and practicality of the current model.

DESIGN AND CONSTRUCTION OF INTELLIGENT TRAFFIC LIGHT CONTROL SYSTEM USING FUZZY LOGIC

2008 ◽  
Author(s):  
Htin Lin ◽  
Khin Muyar Aye ◽  
Hla Myo Tun ◽  
Theingi ◽  
Zaw Min Naing ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Light Control ◽  
Traffic Light ◽  
Traffic Light Control ◽  
Design And Construction

FUZZY BASED DESIGN OPTIMIZATION TO REDUCE THE CROSSTALK IN MICROSTRIP LINES

2004 ◽  
Vol 13 (01) ◽  
pp. 121-136 ◽  
Author(s):  
T. AHMAD ◽  
M. A. HOSSAIN ◽  
A. K. RAY ◽  
Z. GHASSEMLOOY
Keyword(s):  
Fuzzy Logic ◽  
Design Optimization ◽  
High Speed ◽  
Printed Circuit Board ◽  
Optimization Methods ◽  
Circuit Board ◽  
Electrical Parameters ◽  
Design And Optimization ◽  
Printed Circuit ◽  
Microstrip Lines

This paper presents an investigation of the design optimization in microstrip lines to reduce the crosstalk level using Fuzzy Logic. In microstrip lines length and spacing, termination conditions of interconnection and output impedance of gates are the major components that cause crosstalk. In order to design high speed printed circuit board (PCB) with optimum interconnection configuration, it is essential to reduce the crosstalk to its minimum tolerance level. A design methodology is proposed to correlate electrical parameters and physical configuration of lines to the crosstalk phenomena. This design is subsequently optimized using Fuzzy Logic to reduce the level of crosstalk. A set of experiments is carried out to demonstrate the capabilities of the design and optimization methods. The effect of the geometrical configuration of the lines on crosstalk, particularly the spacing, is highlighted.

scholarly journals TRAFFIC LIGHT CONTROL USING FUZZY LOGIC MAMDANI METHOD

2019 ◽  
Vol 3 (1) ◽  
pp. 1-10
Author(s):  
Paula Juniana ◽  
Lukman Hakim
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Traffic Congestion ◽  
Green Light ◽  
Light Control ◽  
Traffic Light ◽  
Additional Time ◽  
Traffic Lights ◽  
Traffic Jams ◽  
Traffic Light Control

Traffic congestion is a common occurrence in Indonesia. Traffic congestion is increasing from year to year, causing many things to happen, such as longer travel time, increased transportation costs, serious disruptions to transporting products, decreasing levels of work productivity, and wasteful use of labor energy. Congestion is also caused by a traffic light control system that is made with a fixed time so it can not detect the density of certain paths. Traffic lights in Indonesia, frequent damage that makes the density and the flow of his road vehicles can not be controlled. From these problems, conducted research to reduce the density of vehicles using infrared sensors and see the waiting time of the vehicle when the red light. The traffic light control system will use Fuzzy Logic Mamdani method. In Mamdani method by applying fuzzy into each variable and will be done matching between rule with condition which fulfilled to determine contents of output to be executed by prototype. This congestion detection will help the system in controlling the green light time by looking at stable, medium, and traffic jams. When the bottleneck starts to detect, the prototype will add a green light time according to the condition that is 0 seconds, 5 seconds, 10 seconds, and 15 seconds. However, when the streets are not detected by traffic jams, the green light will be back to normal at 15 seconds without additional time

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