Análise espaço-temporal dos congestionamentos urbanos em Fortaleza com uso de dados de fluxo de tráfego here

Abstract

Urban traffic congestion is one of the main challenges for mobility in large cities, directly affecting both the quality of life of the population and the efficiency of transportation systems. With advances in geolocation technologies and the increasing use of real-time traffic monitoring platforms, such as the hereR service, it has become possible to collect highly detailed spatial and temporal data. In this context, this study aims to understand the dynamics of traffic congestion in the city of Fortaleza, adopting the neighborhood scale as the spatial unit of analysis. The research seeks to identify spatiotemporal patterns of congestion throughout the days of the week and across different periods of the day, in order to provide technical support for improving urban mobility policies. Spatial analysis techniques, statistical methods, and geographic visualization tools are applied to extract relevant information from large volumes of georeferenced data. The use of the neighborhood scale enables the inference of how congestion distribution reflects specific territorial dynamics, highlighting variations in traffic behavior across different areas of the city. The results allow for the precise mapping of critical zones, identification of recurrent bottlenecks, and a deeper understanding of how congestion manifests differently across the urban fabric. The main contribution of this research lies in demonstrating the potential of spatiotemporal data to support more effective traffic management strategies, in addition to presenting a highly replicable methodology that can be applied to other urban contexts, thus strengthening the development of data-driven and evidence-based solutions.