首页> 中文期刊> 《自动化学报:英文版》 >Parallel Driving in CPSS:A Unified Approach for Transport Automation and Vehicle Intelligence

Parallel Driving in CPSS:A Unified Approach for Transport Automation and Vehicle Intelligence

         

摘要

The emerging development of connected and automated vehicles imposes a significant challenge on current vehicle control and transportation systems. This paper proposes a novel unified approach, Parallel Driving, a cloud-based cyberphysical-social systems(CPSS) framework aiming at synergizing connected automated driving. This study first introduces the CPSS and ACP-based intelligent machine systems. Then the parallel driving is proposed in the cyber-physical-social space,considering interactions among vehicles, human drivers, and information. Within the framework, parallel testing, parallel learning and parallel reinforcement learning are developed and concisely reviewed. Development on intelligent horizon(iHorizon)and its applications are also presented towards parallel horizon.The proposed parallel driving offers an ample solution for achieving a smooth, safe and efficient cooperation among connected automated vehicles with different levels of automation in future road transportation systems.

著录项

  • 来源
    《自动化学报:英文版》 |2017年第004期|P.577-587|共11页
  • 作者单位

    IEEE;

    State Key Laboratory of Management and Control for Complex Systems.Institute of Automation, Chinese Academy of Sciences;

    Research Center for Military Computational Experiments and Parallel Systems Technology, National University of Defense Technology;

    Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University;

    Advanced Vehicle Engineering Center, Cranfield University;

    Department of Automation, Tsinghua University;

    State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences;

    Qingdao Huituo Intelligent Machine Company;

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  • 正文语种 CHI
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