Implementation of Spatial-Temporal Road Traffic Data using Agglomerative Clustering

At present, urbanization is extensively increased in its infrastructure and employment. Transportation of people from one place to another with the use of vehicles on roads parallel at the same time of travel leads to traffic congestion due to several parameters of traffic data. Control of traffic density is the challenging issue among the common people and traffic police simultaneously. The paper signifies the on road traffic and its safety points, types of traffic congestion and methodologies, implementation of agglomerative clustering (bottom-up approach and a part of hierarchical clustering) in different linkages and validity measures of clusters. In addition, data visualizations on traffic data are shown in series.