Intelligent Traffic Light using Fuzzy Neural Network
نویسندگان
چکیده
منابع مشابه
An Intelligent Traffic Light Control Based on Extension Neural Network
This paper presents an intelligent traffic light control method based on extension neural network (ENN) theory for crossroads. First, the number of passing vehicles and passing time of one vehicle within green light time period are measured in the main-line and sub-line of a selected crossroad. Then, the measured data are adopted to construct an estimation method based on ENN for recognizing th...
متن کاملPredicting Gestational Diabetes Using an Intelligent Neural Network Algorithm
Introduction: Due to the large amount of data on people with diabetes, it is very difficult to extract the predictors of diabetes. Data mining science has achieved this important goal with the help of its effective methods with the aim of discovering the prediction of diseases and has helped physicians and medical staff in predicting and diagnosing diseases. Methods: The present research is...
متن کاملStudy of Intelligent Impedance Control Using a Fuzzy Neural Network
This paper presents a study of adaptive force control that takes into account object characteristics using a fuzzy neural network. This study applies fuzzy theory to position control and force control, similar to those actually implemented by industrial robots, to enable automatic establishment of optimum parameters for different environments and autonomous and flexible motion.
متن کاملTraffic Signal Control Using Fuzzy And Neural Network
This paper presents an adaptive traffic signal method based on fuzzy -neural networks for an isolated four-approaches intersection with through and lest-turning movements. This method has the ability to make adjustments to signal timing in response to observed changes. The “urgency degree” term, which can describe the different user’s demand for green time is used in decisionmaking by which str...
متن کاملIntelligent Traffic Light Control
Vehicular travel is increasing throughout the world, particularly in large urban areas. Therefore the need arises for simulating and optimizing traffic control algorithms to better accommodate this increasing demand. In this paper we study the simulation and optimization of traffic light controllers in a city and present an adaptive optimization algorithm based on reinforcement learning. We hav...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Fuzzy Logic and Intelligent Systems
سال: 2003
ISSN: 1598-2645
DOI: 10.5391/ijfis.2003.3.1.066