[PDF] Top 20 Traffic flow Prediction with Big Data Using SAE’S Algorithm
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Traffic flow Prediction with Big Data Using SAE’S Algorithm
... short-term traffic flow ...specific traffic data, and the accuracy of traffic flow prediction methods is dependent on the traffic flow features embedded in ... See full document
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A SURVEY ON BIG DATA BASED VEHICLE TRAFFIC FLOW PREDICTION USING DEEP LEARNING ALGORITHMS
... well-timed traffic flow information is important for the successfuldeployment of intelligent transportation ...years, traffic data have been report, and we have really entered the era of ... See full document
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Classification Approach for Big Data Driven Traffic Flow Prediction using Apache Spark
... timely traffic flow information are strongly needed for individual travellers, business sectors, and government ...agencies. Traffic flow prediction has gained more and more attention ... See full document
5
Analysis and Prediction of Urban Traffic Congestion Based on Big Data
... of traffic flow prediction, a variety of prediction models and methods have been developed, such as linear regression, time series, Kalman filtering, nonparametric ...advanced data ... See full document
6
Predicting Traffic Flow by Analyzing the Flow of Vehicles Using Big Data
... a SAE model for traffic flow ...the traffic data. For the deep network they are using the greedy layer learning algorithm and to improve the prediction process they ... See full document
6
Pedestrian Traffic Flow Prediction based on ANN Model and OSM Data
... OSM data to complete missing OSM ...missing data related to the road type ...by using machine learning algorithms that will analyse the areas in which this information exists, and from which the ... See full document
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Spatiotemporal Traffic Prediction using Semantic Traffic Analytics and Reasoning(STAR) With Big Data Environment
... Vehicle traffic probing is a core issue in end-to-end travel time prediction as the network is dynamic and prediction estimates must be made within a short duration or they will be out-of-phase with ... See full document
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Short-term traffic flow prediction using seasonal ARIMA model with limited input data
... processes, data driven approaches based on statis- tical techniques are usually employed to identify the stochasticity in the observed data ...of traffic flow prediction can be ... See full document
9
Data Mining for Traffic Prediction and Analysis using Big Data
... different traffic monitoring by using big data transportation industry, and advantages of big data used in the transportation ...on big data platform, at last, we ... See full document
5
Traffic Flow Prediction using Combination of Support Vector Machine and Rough Set
... proposed traffic flow prediction where rough set and genetic algorithm were applied for the selection of the relevant forecasting ...for prediction of traffic ...model ... See full document
5
Estimating and Diverting the Route by Using Traffic Data over Big Data
... of traffic postpone progressively open to ...(RMSE)[13]. Using SARIMA[14] the exhibition of the test improved by 5 % over ...time traffic forecast and ... See full document
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Dimensionality reduction and class prediction algorithm with application to microarray Big Data
... It is worth noting that the use of the developed approach is not restricted to binary prediction problems. It can be extended to cover multiclass prediction. Indeed, we applied the approach on a third ... See full document
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Mining Big Data using Genetic Algorithm
... complex data sets is referred to as Big ...an algorithm for the clustering problem of big data using a combination of the genetic algorithm with some of the known ... See full document
5
Real-time Traffic Flow Prediction using Augmented Reality
... for prediction, many methods and models have been created in the past few ...real-time prediction, a length of two sharp variation points is reasonable, because it keeps the integrity of variation ...make ... See full document
63
Disease Prediction Using Snn over Big Data
... fundamental data about the maladies dependent on the indications of the ...unstructured data sources which result in moment direction to their medical ... See full document
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A NOVEL EARLY WARNING SYSTEM USING FUZZY MULTIPLE ATTRIBUTE DECISION MAKING ALGORITHM AND METEOROLOGICAL DATA
... with prediction facility and decision support system (DSS) to improve the ...of prediction methods have been employed on the ...popular prediction methods uses monitoring and sensor network due to ... See full document
15
Improved Traffic Prediction by Applying KNN and Euclidean Distance ARIMA (Ke Arima) Approach
... air traffic control, road sign prediction, number plate detection, congestion control, dynamic routing ...of traffic management overlapped with number plate detection and road traffic signal ... See full document
7
Android Based Traffic Flow Prediction
... against data teams of location samples rather, we attempt to deal with the issue of acquiring communications and interactions inside the system while getting rid of any direct outcomes of a tool and it is ... See full document
6
Crime Analysis and Prediction Using Big Data
... Sanjay Ghemawat and Jeffrey Dean [5] describes that programming model is MapReduce and related performance for generating and processing huge set of data. Users identify function of map that processes a ... See full document
6
Evaluation of BIRCH Clustering Algorithm for Big Data
... of data points in a cluster, LS represents the summation of the data points in a cluster and SS represents the square summation of the data points in a ...an algorithm. In multi threshold ... See full document
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