Edge Intelligence in Intelligent Transportation Systems: A Survey

Edge intelligence (EI) is becoming one of the research hotspots among researchers, which is believed to help empower intelligent transportation systems (ITS). ITS generates a large amount of data at the network edge by millions of devices and sensors. Data-driven artificial intelligence (AI) is at the core of ITS development. By pushing the AI frontier to the network edge, EI enables ITS AI applications to have lower latency, higher security, less pressure on the backbone network and better use edge big data. This paper surveys Edge Intelligence in Intelligent Transportation Systems. We first introduce the challenges ITS faces and explain the motivation of using EI in ITS. We then explore the framework of…

• NN
  National Natural Science Foundation of China

  Award: 61973026
• NS
  Natural Science Foundation of Beijing Municipality

  Awards: L221016, L201002
• BJ
  Beijing Jiaotong University

  Award: RCS2021ZZ005
• NK
  National Key Research and Development Program of China

  Award: 2020YFB1313301