[PDF] Top 20 1. Fuzzy logic based approach for short term traffic flow prediction
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1. Fuzzy logic based approach for short term traffic flow prediction
... [13] traffic flow forecasting is proposed based on type-2 fuzzy ...type-2 fuzzy set can be used to generate a prediction ...[14] traffic flow prediction of ... See full document
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Fuzzy logic identifier of the short term objectives
... systematic approach to identify the current-period short-term objective of an enterprise based on the aggregation of the enterprise’s expert’s opinions, some of which might be conflicting, and ... See full document
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Review of Short Term traffic Flow Prediction by Soft Computing Techniques
... urban traffic congestion spreads, there is a pressing need for the introduction of advanced technology and equipment to improve the state of- the-art of traffic ...control. Traffic problems nowadays ... See full document
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Secure MQTT: an efficient fuzzy logic based approach to detect DoS attack in MQTT protocol for internet of things
... Each deployment scenario (100, 150, 200, 300 nodes) is evaluated separately and the results are given in Fig. 9. In all four cases, Secure- MQTT achieves better ADE compared to MQTT-S as the proposed algorithm cap- tures ... See full document
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A Long Short-term Traffic Flow Prediction Method Optimized by Cluster Computing
... of traffic prediction methods. One of the representative traffic flow prediction algorithm of the second class is Davis and Nihan’s Nonparametric Regressive Model [20] applied to ... See full document
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Short-term traffic flow prediction using seasonal ARIMA model with limited input data
... approaches based on statis- tical techniques are usually employed to identify the stochasticity in the observed data ...of traffic flow prediction can be classified as non parametric or ... See full document
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AN APPROACH OF TRAFFIC FLOW PREDICTION USING ARIMA MODEL WITH FUZZY WAVELET TRANSFORM
... second approach, a nonparametric regression [26] [27] is generally utilized ...for short- term traffic ...network traffic prediction model, whereas the global artificial fish ... See full document
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Peak Load Prediction Using Fuzzy Logic For The 150 kV Sulselrabar System
... Forecasting the electrical load on the electrical system of 150 kV Sulselrabar analyzed using 24 hours short-term forecasting approach. As data input used data load of electricity year 2010 until ... See full document
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A Short Term Traffic Flow Prediction Based on Recurrent Neural Networks for Road Transportation Control in ITS
... is flow rate. The flow rate denoted by ‘Q’ is defined as the number of vehicles (n) in total, passing through an elected or chosen route in a particular time instance ...hour. Traffic volume or ... See full document
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A SHORT-TERM TRAFFIC FLOW FORECASTING METHOD BASED ON STATE IDENTIFICATION.
... process traffic history data, Based on the prediction of future and the past data has the same characteristics to forecast the traffic ...urban traffic earliest in 1981, proposed by ... See full document
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DP LRT: An Urban Short term Traffic Speed Forecasting Method Based on Data Driven
... in short-term traffic forecast can be broadly classified into four categories: naive, parametric, non-parametric, and ...of traffic in the future, ...unstable traffic conditions, ... See full document
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Download Download PDF
... load. Fuzzy logic approach has been widely used in short term load forecasting by considering different factors as input variables such as weather parameters (temperature, humidity, ... See full document
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Multi Model Criteria for the Estimation of Road Traffic Congestion from Traffic Flow Information Based on Fuzzy Logic
... road traffic congestion of urban transport is defined as the ratio of volume to the capacity of the road ...road traffic congestion [3]. These two traffic parameters are considered in this paper by ... See full document
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Fuzzy Logic Model for the Prediction of Traffic Volume in Week Days
... of traffic flow in transportation is a critical area of research among researchers to assist the decision-making processes ...predict traffic flow. Traffic Theory categorized all the ... See full document
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A Hybrid Approach of Traffic Flow Prediction Using Wavelet Transform and Fuzzy Logic
... to traffic prediction, this thesis also uses historical data and real-time data to predict traffic ...For short-term prediction, well-known method such as CATA, CATB, Slip Road ... See full document
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Solar Irradiance Prediction by a New Forecast Engine Composed Wavelet Packet Transform and Adaptive Neuro-Fuzzy Inference System
... the prediction in the last decade. In particular, short term forecasts are increasingly important since the emergence of competitive energy ...intelligent approach for solar irradiance ... See full document
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Short-Term Traffic Prediction Using a Binary Neural Network.
... Short-term prediction algorithms can broadly be classified into univariate and multivariate ...univariate prediction models predict the future value of a single variable as a function of the ... See full document
13
Fuzzy Logic based Short-Term Load Forecasting
... a fuzzy logic approach for short-term load Forecasting (STLF) is attempted in power system operations ...[2]. Short-term Load forecasting has become an essential part of ... See full document
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A Short Term Traffic Flow Forecasting Method Based on a Three Layer K Nearest Neighbor Non Parametric Regression Algorithm
... the short-term traffic flow forecasting models were mainly constructed based on parametric regres- sion methods [1] [2] such as history average model, time series model, Kalman ... See full document
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A Comprehensive Study to Reduce Traffic Accidents Using Fuzzy Logic Approach
... a fuzzy rule base. In fuzzy rule-based systems, the rule base is formed with the assistance of human experts; recently, numerical data has been used as well as through a combination of numerical ... See full document
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