Temporal Scalability-Based Vehicular Traffic Modeling for Optimal Resource Allocation in VANET

This project addresses the need to enhance the efficiency and safety of Intelligent Transportation Systems (ITS) given the growing number of vehicles, focusing on Vehicular AdHoc Networks (VANETs). The main challenge lies in network topology instability caused by rapid vehicular movement, which complicates the precise localization of vehicular flow—essential for services like routing, congestion management, and coverage. The proposed solution involves developing a mathematical model for optimal resource allocation in the VANET, leveraging predictable vehicle mobility patterns. The methodology begins with a state-of-the-art study on VANET localization. Subsequently, a mobility scenario on real, georeferenced roads will be simulated using simulation software. The generated information will be processed in Matlab to fine-tune a mobility scheme applicable to models such as contour lines and Smoothed Particle Hydrodynamics (SPH). This culminates in resource allocation for the VANET and the presentation of results demonstrating network performance improvements.<br/><br/><b>Goal</b>: <br/>To determine Vehicular Flow by developing and applying a mathematical model for optimal resource allocation in Vehicular AdHoc Networks (VANETs) based on a temporal scale.<br/><br/><b>Research lines</b>: <br/>New generation telecommunications networks