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 U+0028 CPSS U+0029 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 U+0028 iHorizon U+0028 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.
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机译：互联和自动车辆的新兴发展对当前的车辆控制和运输系统提出了重大挑战。本文提出了一种新颖的统一方法，并行驾驶，一种基于云的网络物理社会系统U + 0028 CPSS U + 0029框架，旨在协同互联自动驾驶。本研究首先介绍基于CPSS和ACP的智能机器系统。然后考虑到车辆，人类驾驶员和信息之间的相互作用，在网络物理社会空间中提出了并行驾驶。在该框架内，开发并简要审查了并行测试，并行学习和并行强化学习。智能地平线U + 0028上的开发iHorizon U + 0028及其应用也针对并行地平线进行了介绍。提议的并行驾驶为在未来的道路运输系统中具有不同自动化水平的互联自动车辆之间实现顺畅，安全和高效的协作提供了充足的解决方案。
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