Big Data Approach to Traffic Violation Data Analytics
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Authors
Modi, Prasad
Sule, Abolanle
Rao, Swetha
Issue Date
2017-03-24
Type
Presentation
Language
en_US
Keywords
Big data , Data analysis , Pattern analysis , Traffic violation
Alternative Title
Abstract
This paper presents an in-depth analysis of traffic violations patterns using Big Data Analytic methods, aimed at improving monitoring patrol, government planning and decision making. The analysis was carried out using data available from over a period of four years in all US states. It describes certain problem definitions, processing and analyzing unstructured data using Hadoop Systems tools, data visualization and evaluating the results. In addition we described the MapReduce programming model in relation to our data analysis process and provided its implementation details. We implemented other Hadoop Eco System tools such as Hive and Spark that were used for comparison and evaluation. Finally, this paper presents the data visualization concept use to further present data in graphical forms for better pattern identification.