[PDF] Top 20 A SURVEY ON BIG DATA BASED VEHICLE TRAFFIC FLOW PREDICTION USING DEEP LEARNING ALGORITHMS
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A SURVEY ON BIG DATA BASED VEHICLE TRAFFIC FLOW PREDICTION USING DEEP LEARNING ALGORITHMS
... a deep learning based prediction algorithm,DeepTFP, to collectively predict the traffic flow on each and every traffic road of a ...three deep residual neural ... See full document
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A SURVEY ON DEEP LEARNING TECHNIQUES FOR BIG DATA IN BIOMETRICS
... Abstract: Big Data and deep learning are two important words in data science now ...of data collected by organizations are utilized for various purposes such as for solving ... See full document
6
Traffic flow Prediction with Big Data Using SAE’S Algorithm
... time based traffic flow information to do best performance ...years, traffic data have been huge, existing system used weak traffic prediction models which is ...is ... See full document
8
Analysis and Prediction of Urban Traffic Congestion Based on Big Data
... The traffic flow feature vector is constructed by summarizing the basic data such as the traffic flow parameters, the environmental state, and the time period, and the four predicted ... See full document
6
Deep Learning based Pedestrian Detection and Tracking System using Unmanned Aerial Vehicle and Prediction Method
... the deep neural network trained on aerial pedestrian ...sufficiently big and diverse to make a definite statement, the proposed method achieved better speed and accuracy than other object detection ...and ... See full document
6
Deep Learning Based Traffic Classification In Software Defined Networking –A Survey
... self learning classifier [57], a unsupervised algorithm with adaptive seeding to automatically let classes of traffic emerge, being identified and ...clusters using simple statistical features. ... See full document
8
A Cognitive Contemplation of Road Accident Predicton Through Deep Learning
... research based on the vehicle accidents step to collect and structure a progressive secure transportation unfortunately vehicle crashes were ...accident prediction related with the risky ... See full document
8
Predicting Traffic Flow by Analyzing the Flow of Vehicles Using Big Data
... A deep learning approach with a SAE model for traffic flow ...the traffic data. For the deep network they are using the greedy layer learning algorithm and ... See full document
6
Deep Intelligent Prediction Network: A Novel Deep Learning Based Prediction Model on Spatiotemporal Characteristics and Location Based Services for Big Data Driven Intelligent Transportation System
... mostly based on frequencies. For instance, features are extracted based on road types, traffic density, vehicle moving time and frequency of objects distributions near Point of ...Furthermore, ... See full document
5
Deep Traffic learning: An automatic vehicle speed assisting tool based on the varying traffic conditions to ensure a safe driving
... Traffic flow prediction mainly focus on how fast the traffic flow is increasing on ...roads. Traffic forecasting gives the information on time to time traffic ...this ... See full document
6
A Hybrid Approach of Traffic Flow Prediction Using Wavelet Transform and Fuzzy Logic
... that using historical and real-time data provides marginally better accuracy when it comes to traffic prediction, this thesis also uses historical data and real-time data to ... See full document
75
Survey on Big Data Mining Algorithms
... tremendous data, resulting in big ...of data have been generated continuously at extraordinary and ever increasing ...scales. Big Data is a new term used to identify the datasets that ... See full document
5
A Survey on Data Mining Association Rules By Effective Algorithms
... the data using a special data structure, a frequent pattern tree, and let it grow to mine ...compact data structure from ...database using FP-growth ... See full document
9
Accident prediction model at un signalized intersections using multiple regression method
... the traffic volume is high, intersection that provided must accommodate with the high volume for turning movement that traverse to large ...the traffic so that the vehicle can safely negotiate the ... See full document
38
A Survey on Automated Traffic Management Systems
... Sensor based vehicle detection using a data analytic approach, this frameworks has an immediate effect on the vehicle detection ...track vehicle individually ...vessel ... See full document
5
Train Delay Prediction Systems Using Big Data Analytics
... feature learning using SELM may not be effective even with a larger number of hidden ...feature learning is often useful to improve the accuracy of the final model, multilayer solutions are usually ... See full document
7
State Space Modeling and Short-Term Traffic Speed Prediction Using Kalman Filter Based on ANFIS
... any traffic control or monitoring systems especially for road ...short-term traffic speed prediction model using Adaptive Neuro Fuzzy Inference System ...of traffic, linear time variant ... See full document
5
A Survey of Big Data using Data Mining Algorithms Megha K. Patel
... These characteristics make it an extreme chal-lenge for discovering useful knowledge from the Big Data. In a nave sense, we can imagine that a num-ber of blind men are trying to size up a giant ele-phant ... See full document
5
Cost Optimized Hybrid System in Digital Advertising using Machine Learning
... product using online social platforms such as Facebook, YouTube and many other ...Machine Learning and Artificial intelligence is now widely used to understand the current trends and to know the ... See full document
6
Spatiotemporal Traffic Prediction using Semantic Traffic Analytics and Reasoning(STAR) With Big Data Environment
... Vehicular traffic congestion is a significant and growing problem that affects the entire nation’s ...population. Traffic congestion is a dynamical problem where both sporadic traffic incidences ... See full document
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