José Daniel Padrón, Researcher for the Networking Research Group (GRC)
Computer Engineering Department,
Universitat Politècnica de València, Spain
Title: Managing Urban Traffic and Air Quality: Simulation Techniques and Practical Applications
Abstract
Managing urban traffic and air quality are critical challenges for modern cities. Emerging technologies and simulation tools, such as the Simulation of Urban Mobility (SUMO) and the Graz Lagrangian Model (GRAL), offer powerful solutions to these issues. SUMO facilitates detailed traffic simulation, while GRAL provides advanced air quality modeling. Together, they can help create efficient and sustainable urban traffic management systems.
In this tutorial, we will cover the comprehensive process of using advanced simulation tools to manage urban traffic and air quality. We will start by discussing the fundamentals of gathering and preparing traffic data, followed by estimating traffic demand, which is crucial for accurate simulations. Participants will learn how to set up and execute traffic simulations using SUMO, exploring its key features and functionalities. Next, we will dive into air quality modeling with GRAL, demonstrating the integration of traffic data from SUMO to analyze the environmental impact of various traffic scenarios. Special attention will be given to SUMO2GRAL, a custom tool that facilitates seamless integration between SUMO and GRAL.
Throughout the tutorial, we will demonstrate practical applications of these tools in real-world scenarios, showcasing their versatility and potential to address complex urban challenges. By the end of this session, participants will have a solid understanding of how to leverage SUMO, GRAL, and SUMO2GRAL to explore and analyze traffic and air quality dynamics, paving the way for more informed decision-making and innovative solutions.
Bio
José Daniel Padrón is a Researcher for the Networking Research Group (GRC) in the Computer Engineering Department at Universitat Politècnica de València (Spain). Since 2021, he has been pursuing his PhD in Computer Science at UPV, focusing on developing a system for urban traffic management that considers pollution criteria. Throughout his doctoral studies, he has developed expertise in traffic management, traffic simulations, and the behavior of traffic pollution within urban environments.
He received his M.Eng. in Computer and Network Engineering from UPV in 2021, where he gained a deep understanding of IoT, communication networks, and traffic management. José Daniel completed his B.Eng. in Telecommunications Technologies at the Universidad de Las Palmas de Gran Canaria in 2020. His undergraduate education gave him a solid foundation in networking technologies like SDN and NFV.
His main research interests are Smart Cities, Air Pollution, Intelligent Transportation Systems, and Software-Defined Networking (SDN). José Daniel Padrón has published extensively and continues to contribute significantly to his field, aiming to advance the management and analysis of urban traffic systems and environmental data.
