PROCESSING AND ANALYSIS OF BIG TRAJECTORY DATA USING MAPREDUCE
Natalija M. Stojanovic, Dragan H. Stojanovic · SCIndeks · 2015
Abstract. In this paper, we present research work related to processing and analysis of big trajectory data using MapReduce framework. We describe the MapReduce-based algorithms and applications implemented on Hadoop for processing spatial join between big trajectory data and set of POI regions and appropriate aggregation of join results. The experimental evaluation and results in detecting trajectory patterns of particular users and the most popular places in the city demonstrate the feasibility of our approach. The visual analytics of MapReduce job output improve the trajectory and movement analysis. Key words: data processing, geospatial analysis, high performance computing, parallel processing, spatial databases