[PDF] Top 20 Analysis and Prediction of Urban Traffic Congestion Based on Big Data
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Analysis and Prediction of Urban Traffic Congestion Based on Big Data
... Big Data uses road information and human travel information for ...analysis. Big Data technology greatly reduces the requirements for the structure of data ...of traffic ... See full document
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Prediction of Diseases using Big Data Analysis
... popular data source for disease surveillance using social media since it can provide nearly instant access to real- time social ...a data-aggregating tool called Google Flu Trends which uses aggregated ... See full document
7
Data Mining for Traffic Prediction and Analysis using Big Data
... the data analysis layer, publishes traffic conditions to public, business units, industry executives, ...include traffic condition, traffic warning, data charts for ...from ... See full document
5
Crime Analysis and Prediction Using Big Data
... scale data were not suddenly occurred but have been there for several years because the creation of data is usually much easier than finding useful things from the ...scale data is a strain to ... See full document
6
Big Data Analysis on WSN for Risk Analysis on Different Data
... Big data poses both opportunities and challenges for ...from big data, it must be processed and analyzed in a timely manner, and the results need to be available in such a way as to be able to ... See full document
6
A Survey on Disease Prediction by Machine Learning Over Big Data from Healthcare Communities
... of big data technology, more attention has been paid to disease prediction from the perspective of big data analysis; various researches have been conducted by selecting the ... 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 big ... See full document
12
Evidence Based Medicine Methodology Through Big Data Analysis
... using Big Data analytics with Evidence Based ...Patient analysis report is generated to monitor the recovery and patient feedback of the suggested drug is recorded to witness the success-rate ... See full document
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Multivariate Time Serious Traffic Prediction Using Long Short Term Memory Network
... the traffic congestion with high ...temporal traffic prediction model with K-nearest neighbour (KNN) and LSTM ...term traffic flow ...method based on wavelet analysis and ... See full document
6
The impact of Planned Special Events (PSEs) on urban traffic congestion
... PSEs data extracted from the Live Traffic Hazards API provided by Live Traffic NSW web site using the developer ...survival analysis when duration prediction models are developed in ... See full document
11
Spatiotemporal Traffic Prediction using Semantic Traffic Analytics and Reasoning(STAR) With Big Data Environment
... In Urban Mobility Report, delays due to heavy traffic costing Americans $78 billion in the form of ...of traffic delays are caused not by recurring congestion but by point-based ... See full document
7
The Matter and Solution for Reducing the Traffic Congestion and Traffic Jam In Vietnamese - Big Cities
... of traffic jams? This is indeed true and I believe it can be said in a ...much traffic leading to congestion and when jams, people do not need to know what the traffic rules ...the ... See full document
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Generating Artificial Data to Evaluate Machine Learning Predictive Algorithms for Bus Travel Time
... of data that may be used to train the predictor; ii) the evaluation performance of a simple K-Nearest Neighbors (K-NN) predictor algorithm for many scenarios with several degree of traffic ...real ... See full document
16
Analysis on Big Data and Challenges
... of data with limited computational and storage ...that data are presented to the algorithm as one or more streams of inputs that are processed in order, and only ...time-series data (news feeds, ... See full document
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A REVIEW PAPER ON ESTIMATING CAPACITY AND DELAY FOR SIGNALIZED ROADWAY WITH FREIGHT DELIVERIES
... is based on the delay concept. Distinct the frequently used headway-based methods that consider only the additional headway consumed by trucks, the delay-based approach fully considers the additional ... See full document
5
Information fusion of ITS based on granular computing
... Quotient space theory and rough set theory are granular computing models, and are discussed in the framework of set theory. They regard the granularity as a subset of the problem domain. They are not mutually exclusive, ... See full document
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A Framework for Intelligent Decision Support System for Traffic Congestion Management System
... peak-period traffic congestion directly and indirectly in different ...Peak-Period traffic congestion were not designed with the reduction of peak period traffic con- gestion as their ... See full document
20
Type-II Fuzzy Membership-Based Traffic Congestion Control For URBAN Areas
... network traffic data for the four-way signal coordination, has calculated delay in AutoCAD and MS Excel, compared these two delays and found that there may be considerable reduction in overall delay by ... See full document
6
Causes of traffic congestion in urban areas Case of Poland
... of congestion may be related to a situation in which a good is used or consumed collectively by a larger number of buyers and this good cannot be provided in the form of separate ...for congestion to occur ... See full document
9
Predictive Vehicular Traffic Model Using Ensemble Methods
... Abstract: Traffic will always be a problem as we move to a modernized way of ...The data was collected from Google ...raw data. A significant amount of effort was put towards data preparation ... See full document
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