José Francisco Aldana Montes, Full Professor at University of Malaga, will lead a workshop to explain how Big Data analytic procedures can be applied to predict the traffic in certain metropolitan areas of a big city. We will practice with a real-world use case of traffic prediction in the cluster environment of Ada Byron building. To access the workshop web site, click in the link http://khaos.uma.es/tallerbd.
In the case of Smart Cities is necessary to capture, store, process and analyze large amounts of data from many different to transform them into useful knowledge for decision-making and to anticipate what will happen sources. Some of the areas for improvement through the use of Big Data are: public safety, urban mobility, energy efficiency management and urban waste and analysis of citizen sentiment. As a case study, we present an exercise in predicting the traffic density in an area of metropolitan Manhattan, in New York. We rely in this case on actual data from traffic sensors available from the area of mobility of the City of New York. Use applications such as Hive and HCatalog for storing and processing data. The analysis of traffic densities will be conducted using algorithms and predictive models through libraries Rhadoop data mining.
Workshop: Analyzing Traffic Data
|9.30 – 10.00||Registration|
|10.00 – 10.30||Presentation. Introduction to Big Data and Applications to Smart Cities|
|10.30 – 13.00||Case Study of Traffic Data (* Required to bring your own Laptop with ssh client: Putty, winSCP, etc.)|
|13:00||End of Event|
Register Here In the event use #bdmalaga #bdw15