Examinando por Autor "Serrano, Leire"

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  • Miniatura
    Ítem
    Fleet and traffic management systems for conducting future cooperative mobility.
    (Springer, 2026) Papa, Gregor; Vukašinović, Vida; Sánchez Cauce, Raquel ; Cantú Ros, Olivia G.; Burrieza Galán, Javier ; Tympakianaki, Athina ; Pellicer-Pous, Antonio; Masegosa Arredondo, Antonio David ; Gosh, Arka; Serrano, Leire
    As urbanization continues to increase worldwide, cities face the challenge of accommodating growing populations while maintaining efficient and sustainable transportation systems. The advent of connected and autonomous vehicles promises transformative changes in urban mobility. This paper addresses developments and innovations aimed at seamlessly integrating CAVs into the complex urban mobility ecosystem. It presents assumptions related to a fleet of fully connected and autonomous vehicles coordinated by traffic management centers and focuses on optimizing route assignments based on various performance metrics, including travel time, energy consumption, congestion, and emissions. We are also exploring the integration of people and goods mobility by leveraging the cost efficiency and versatility of on-demand autonomous services.
  • Miniatura
    Ítem
    The TANGENT project architecture: towards new traffic management approaches
    (Springer, 2026) Landaluce, Hugo ; Serrano, Leire ; Masegosa Arredondo, Antonio David ; Gosh, Arka ; Arrandiaga, Ander; Dias, Tiago; Silva, Ana V. ; Moura, Lara
    The TANGENT project (www.tangent-h2020.eu/) aims to address the challenges of urban transportation, including traffic accidents, greenhouse gas emissions, and congestion. The project focuses on optimizing traffic management and enhancing mobility through a distributed, modular, and scalable architecture. TANGENT collects and harmonizes data from various sources, including sensors, users, vehicles, schedules, pricing, and traffic flows. It uses this data to create enriched information for different transport stakeholders. The project combines technologies such as data gathering, travel behavior modeling, traffic prediction and simulation, and transport network optimization to provide advanced transport management services. This paper is focused on presenting the project architecture developed to implement four services: data collection and harmonization, enhanced information service, real-time traffic management, and transport network optimization. The project involves a consortium of organizations from nine European countries and aims to pilot its integrated tool in multiple cities in 2024.
  • Miniatura
    Ítem
    Travel behavior shifts under extreme system-level disruptions
    (Elsevier B.V., 2023) Gasparinatou, Christina; Mantouka, Eleni; Vlahogianni, Eleni I.; Masegosa Arredondo, Antonio David ; Serrano, Leire
    This paper attempts to identify and critically discuss how travel behaviour may be affected by any extreme system-level conditions of the transportation system in the cities. These disruptions refer to non-recurrent events and indicatively include hazardous events, and perturbations of the road network. To this end, the international literature on the changes in travel behaviour in the case where system-level disruption occur is collected and analysed. The analysis is conducted on the basis of the three pillars of travel behaviour, namely travel mode, route and departure time choices. The results show that most people tend to postpone their trip when extreme weather conditions occur, whereas in case of a public transportation disruption travellers are keen on altering their route choice. Finally, a clear mode shift towards cars has been observed due to the outbreak of COVID-19 pandemic.