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A Scalable Digital Twin Architecture for Monitoring & Optimization of Electric Roads: The eRoadMontBlanc Case Study

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اقرأ أكثر حفظ في قائمتي
  • معلومة اضافية
    • Contributors:
      Laboratoire d'Informatique Gaspard-Monge (LIGM); École nationale des ponts et chaussées (ENPC)-Centre National de la Recherche Scientifique (CNRS)-Université Gustave Eiffel; Laboratoire sur la Perception, les Intéractions, les Comportements et la Simulation des usagers de la route et de la rue (COSYS-PICS-L); Université Gustave Eiffel; Laboratoire Modélisation et Simulation Multi-Echelle (MSME); Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)-Université Gustave Eiffel; Ecole des Ingénieurs de la Ville de Paris (EIVP); Laboratoire en Sciences et Technologies de l'Information Géographique (LaSTIG); Ecole des Ingénieurs de la Ville de Paris (EIVP)-École nationale des sciences géographiques (ENSG); Institut National de l'Information Géographique et Forestière IGN (IGN)-Université Gustave Eiffel-Institut National de l'Information Géographique et Forestière IGN (IGN)-Université Gustave Eiffel; Programmes d'Investissement d'Avenir (PIA)
    • بيانات النشر:
      CCSD
    • الموضوع:
      2025
    • Collection:
      École des Ponts ParisTech: HAL
    • الموضوع:
      Caen; France
    • نبذة مختصرة :
      International audience ; This poster presents a scalable digital twin (DT) architecture for electric roads, illustrated through the eRoadMontBlanc project. The goal is to optimize the deployment and real-time management of Electric Road Systems (ERS), which allow EVs to charge while driving. Current DTs are insufficient due to lack of interoperability, scalability, and adaptability. The proposed solution leverages NGSI-LD (ETSI standard) for semantic data modeling and integrates heterogeneous data. The DT will be validated using real or simulated data, focusing on scalability, accuracy, interoperability, and latency.
    • الدخول الالكتروني :
      https://hal.science/hal-05094009
      https://hal.science/hal-05094009v1/document
      https://hal.science/hal-05094009v1/file/Poster_1%20%284%29.pdf
    • Rights:
      info:eu-repo/semantics/OpenAccess
    • الرقم المعرف:
      edsbas.FE6436B0