Analysis of Variation Sectors of Vehicular Network Congestion Through Modeling and Simulation of Mobility Scenarios in Urban Areas

This project focuses on modeling vehicular flow and congestion in urban networks, a critical component for developing safe and efficient Intelligent Transportation Systems (ITS). The main objective is to create mobility scenarios to analyze congestion dynamics. The theoretical context addresses the inherent challenges in Vehicular Ad Hoc Networks (VANETs), such as link instability due to rapid topological changes caused by dynamic vehicle movement. The proposed solution involves researching the state-of-the-art in VANETs, focusing on the precise localization of vehicular flow. Subsequently, models will be implemented using specialized simulation software to set up mobility scenarios on real, georeferenced roads. Detailed vehicle movements will be generated, and the results will be processed in Matlab to fine-tune the mobility scheme. This will allow for the application of advanced models such as contour lines, Smoothed Particle Hydrodynamics (SPH), and Markovian models to predict future congestion locations. Although the total complexity of the problem is high, constraints will be applied to achieve a realistic approximation of real-time operational conditions, thereby facilitating the evaluation and development of efficient ITS.<br/><br/><b>Goal</b>: <br/>To generate mobility scenarios to model vehicular flow behavior in urban areas, in order to analyze the sectors where congestion variation occurs within the vehicular network.<br/><br/><b>Research lines</b>: <br/>Telecommunications and information technologies