Examinando por Autor "Tympakianaki, Athina"

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  • Miniatura
    Ítem
    Developing a multilevel decision support tool for urban mobility
    (MDPI, 2022-06-25) Salanova Grau, Josep-María; Aifadopoulou, Georgia ; Magkos, Evripidis ; Mallidis, Ioannis ; Maleas, Zisis ; Narayanan, Santhanakrishnan ; Antoniou, Constantinos; Tympakianaki, Athina ; Martín, Ignacio ; Fajardo Calderín, Jenny
    Decisions on transport policy measures have long-term and important impacts on the economy, environment and society. Transport policy measures can lock up capital for decades and cause manifold external effects. In order to allow policymakers to evaluate transport policies, the developed decision support tool facilitates the evaluation of the multidimensional impacts of the implementation of transport policies. The objective of the decision support toolset presented in this paper is to support transportation planning and design practices based on an integrated transportation analysis of the area of examination to determine the most applicable combination of mobility services. This paper provides a comprehensive description of the interactive decision support tool implemented to help cities and decision makers design their strategies and shape the urban mobility of the future.
  • 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.