Smart City Intersections: Intelligence Nodes for Future Metropolises.

This article explores city intersections as intelligence nodes using high-bandwidth, low-latency services for providing privacy-preserving smart city applications. COSMOS testbed experiments using edge-computing-based artificial-intelligence techniques are reported, for monitoring of pedestrians, cl...

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Publicado en:Computer (00189162) Vol. 65; no. 12; pp. 74 - 86
Autores principales: Kostic, Zoran, Angus, Alex, Yang, Zhengye, Duan, Zhuoxu, Seskar, Ivan, Zussman, Gil, Raychaudhuri, Dipankar
Formato: Artículo
Publicado: IEEE Dec2022
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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          Kostic, Zoran
          Angus, Alex
          Yang, Zhengye
          Duan, Zhuoxu
          Seskar, Ivan
          Zussman, Gil
          Raychaudhuri, Dipankar
        affil:
          Columbia University, New York, USA
          Qualcomm, Inc., San Diego, USA
          Rensselaer Polytechnic Institute, Troy, USA
          Rutgers University, North Brunswick, USA
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        Smart cities
        Metropolis
        Pedestrians
      sug:
        subj:
          Smart cities
          Metropolis
          Pedestrians
      keyword:
        Low latency communication
        Monitoring
      ab: This article explores city intersections as intelligence nodes using high-bandwidth, low-latency services for providing privacy-preserving smart city applications. COSMOS testbed experiments using edge-computing-based artificial-intelligence techniques are reported, for monitoring of pedestrians, cloud-connected vehicles, and traffic management.
      pubtype: Academic Journal
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    language: English
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