Mining the Situation: Spatiotemporal Traffic Prediction With Big Data
نویسندگان
چکیده
منابع مشابه
Data Mining for Traffic Prediction and Analysis using Big Data
Today we are living in a data-driven world. Developments in data generation, gathering and storing technology have empowered organizations to gather data sets of massive size. Data mining is a term that blends traditional data analysis methods with cultured algorithms to handle the tasks stood by these new forms of data sets. This paper is a comparative analysis of various Data Mining of traffi...
متن کاملSpatiotemporal 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 4.2 billion lost hours and 2.9 billion gallons of wasted fuel. In addition, 2/3 of traffic delays are caused not by recurring congestion but by point-based spontaneous congestion due to traffic incidences. STAR-CITY, which integrates (human and machine-based) sensor data using variety of formats, ...
متن کاملSpatiotemporal Prediction using Data Mining Tools
AbstrAct The spatio-temporal prediction problem requires that one or more future values be predicted for time series input data obtained from sensors at multiple physical locations. Examples of this type of problem include weather prediction, flood prediction, network traffic flow, and so forth. In this chapter we provide an overview of this problem, highlighting the principles and issues that ...
متن کاملWhen Traffic Flow Prediction Meets Wireless Big Data Analytics
Traffic flow prediction is an important research issue for solving the traffic congestion problem in an Intelligent Transportation System (ITS). Traffic congestion is one of the most serious problems in a city, which can be predicted in advance by analyzing traffic flow patterns. Such prediction is possible by analyzing the real-time transportation data from correlative roads and vehicles. This...
متن کاملA Network Traffic Prediction Algorithm Based On Data Mining Technique
This paper is a description approach to predict incoming and outgoing data rate in network system by using association rule discover, which is one of the data mining techniques. Information of incoming and outgoing data in each times and network bandwidth are network performance parameters, which needed to solve in the traffic problem. Since congestion and data loss are important network proble...
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: IEEE Journal of Selected Topics in Signal Processing
سال: 2015
ISSN: 1932-4553,1941-0484
DOI: 10.1109/jstsp.2015.2389196