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The PMDI project aims at radically improving the safety of urban mobility by extending STEP, an automotive data management and analytics platform, to support real-time and near-real-time use cases, particularly focusing on dangerous crossings at urban intersections. Such capabilities will be achieved by deploying STEP on Multi-access Edge Computing (MEC) hardware modules, and integrating within the platform fast AI video and image analytics as well as danger detection algorithms taking as inputs V2X messages from a variety of sources, including (virtual) on-board units and infrastructural sensors. To ensure that dangerous conditions are correctly learnt by AI algorithms, digital twins of the road sections under examination will be built leveraging domain specific language technologies designed to ease the integration.

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PMDI: An AI-Enabled Ecosystem for Cooperative Urban Mobility

  • 会议论文

  • 发表日期：

    2025年

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  • William Fornaciari,
  • Giovanni Agosta,
  • Massimo Fioravanti,
  • Paolo Giuseppetti,
  • Alessandro Solinas,
  • Luigi Gallo,
  • Manuel Pernigotto,
  • Mario Pedol,
  • Francesco Pro,
  • Irene Amerini,
  • Lorenzo Papa,
  • Luca Maiano,
  • Giovanni Trovini,
  • Mauro Di Giamberardino,
  • Paolo Satta

摘要

The PMDI project aims at radically improving the safety of urban mobility by extending STEP, an automotive data management and analytics platform, to support real-time and near-real-time use cases, particularly focusing on dangerous crossings at urban intersections. Such capabilities will be achieved by deploying STEP on Multi-access Edge Computing (MEC) hardware modules, and integrating within the platform fast AI video and image analytics as well as danger detection algorithms taking as inputs V2X messages from a variety of sources, including (virtual) on-board units and infrastructural sensors. To ensure that dangerous conditions are correctly learnt by AI algorithms, digital twins of the road sections under examination will be built leveraging domain specific language technologies designed to ease the integration.