Extracting Trends of Traffic Congestion Using a NoSQL Database
Titus Irma Damaiyanti, Ardi Imawan, Joonho Kwon · 2014
Recently, there has been growing interest in monitoring the road traffic data. Most of the work focused on real-time traffic data. In this paper, we propose an Extrac system which extracts trend of traffic congestions from historical traffic data and answers the queries about the trends. In Extrac system, we first convert the historical traffic data into traffic patterns then summarize it by applying MapReduce style algorithms. These traffic patterns are store into a NoSQL database. Our implementation demonstrates the feasibility of Extrac for querying traffic information and generating the result.