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Volume 42 Issue 1
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Zhihong QIAN, Chunsheng TIAN, Yinjing GUO, Xue WANG. The Key Technology and Development of Intelligent and Connected Transportation System[J]. Journal of Electronics & Information Technology, 2020, 42(1): 2-19. doi: 10.11999/JEIT190787
Citation: Zhihong QIAN, Chunsheng TIAN, Yinjing GUO, Xue WANG. The Key Technology and Development of Intelligent and Connected Transportation System[J]. Journal of Electronics & Information Technology, 2020, 42(1): 2-19. doi: 10.11999/JEIT190787
shu

The Key Technology and Development of Intelligent and Connected Transportation System

doi: 10.11999/JEIT190787
  • 1.

    College of Communication Engineering, Jilin University, Changchun 130012, China

  • 2.

    College of Information and Electrical Engineering, Shandong University of Science and Technology, Qingdao, 266510, China

Funds:  The National Natural Science Foundation of China (61771219), The Fundamental Research of Jilin University (SXGJQY2017-9, 2017TD-19), The Graduate Innovation Fund of Jilin University (101832018C022)
  • Received Date: 2019-10-16
  • Rev Recd Date: 2019-11-22
    • Available Online: 2019-11-30
  • Publish Date: 2020-01-21
    Abstract
  • Some current works on intelligent and connected transportation system are presented, particularly focusing on the state of the art of the framework and key technologies in China or internationally, and the research development in some critical directions are elaborated including external environment perception, autonomous decision of vehicles, control execution and cooperative vehicle infrastructure system. On the basis of analyzing and summarizing the existing literature, the scheme of the future intelligent and connected transportation system and its working principle are described. The future intelligent and connected transportation system have the function of full path planning and precise, and the Real-Time Kinematic (RTK) and Synthetic Aperture Radar (SAR) technologies are used to detect and locate moving or non-moving objects, including those without GPS. And the continuity of the detection signal can be guaranteed in the environment where GPS signals are weak or non-signaled (e.g., tunnel, indoor) and the situation of close-range and non-visual. The Mobile Edge Computing (MEC) theory can also be used in the system to solve the key problems such as low latency and large-scale network access, and the big data, cloud computing, Internet of Things (IoTs) and mobile communication technologies are used to realize the global and networked intelligent and connected transportation system.
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