Data Analysis and Visualization of Traffic in Chicago with Size and Landuse-Aware Vehicle to Buildings Assignment

Besides vehicles, buildings are one of the main energy users in urban areas. The rate of energy usage of a particular building depends on features such as human activities, the number of people inside, weather, and the surrounding landscape. Such complex interactions makes energy usage of buildings hard to understand. In this work, we analyze the energy usage of Chicago loop under the effects of several features. Through our extensive experiments, we explore the connections between energy usage and these features. Moreover, we proposed an algorithm that assigns vehicles to buildings by considering three parameters: location of the building, its size, and land-use.