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Collision Risk Model Simulations with Data-Driven Models and Examining the Impact and Strategies of Electrical Vehicle Grid Integration ...

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  • المؤلفون: JULIENNE LIM; Xu, Jie
  • نوع التسجيلة:
    article in journal/newspaper
    text
  • اللغة:
    English
  • معلومة اضافية
    • بيانات النشر:
      Journal of Student-Scientists' Research
    • الموضوع:
      2023
    • Collection:
      DataCite Metadata Store (German National Library of Science and Technology)
    • نبذة مختصرة :
      Collision risk models (CRMs) and electric vehicle (EV) grid integration are pivotal aspects in the domain of transportation and energy management. CRMs aim to assess and predict the probability of collisions involving diverse airplane models with the ultimate goal of enhancing safety in transportation. These models consider a variety of factors, such as airplane models, environmental conditions, traffic patterns, and human behavior, providing valuable insights to implement effective safety measures and traffic management strategies. CRMs have shifted towards data-driven models, departing from traditional physics-based approaches, to attain more precise trajectory paths for airplanes, leveraging large-scale real-world data and machine learning algorithms. Multiple algorithms were investigated for the purpose of carrying out a simulation study and analyzing flight trajectories. Concurrently, with EV grid integration, a systematic screening analysis is aimed at identifying utility company executives for a focus ... : Journal of Student-Scientists' Research, Vol. 5 (2023) ...
    • Relation:
      https://dx.doi.org/10.13021/jssr.2023
    • الرقم المعرف:
      10.13021/jssr2023.3998
    • الدخول الالكتروني :
      https://dx.doi.org/10.13021/jssr2023.3998
      https://journals.gmu.edu/index.php/jssr/article/view/3998
    • Rights:
      Creative Commons Attribution Share Alike 4.0 International ; https://creativecommons.org/licenses/by-sa/4.0/legalcode ; cc-by-sa-4.0
    • الرقم المعرف:
      edsbas.C1D566DE