arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2007.10799cs.ROcs.AI
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基于并行驱动的信息-物理-社会系统的数字四元组:从概念到应用

Digital Quadruplets for Cyber-Physical-Social Systems based Parallel Driving: From Concept to Applications

School of Vehicle and Mobility, Tsinghua University(清华大学车辆与运载学院);Waytous Inc.(文投科技公司)

Teng Liu, Xing Yang, Hong Wang, Xiaolin Tang, Long Chen, Huilong Yu, Fei-Yue Wang

摘要:

在基于ACP的并行驾驶的启示下,提出了旨在提高未来互联自动车辆的道路安全性、交通效率和驾驶协作的数字四联体。ACP方法表示人工社会、计算实验和网络物理社会系统的并行执行模块。在数字四胞胎的框架中设计了四个代理:描述性车辆,预测性车辆,规定性车辆和真实车辆。这三种虚拟车辆(描述性、预测性和规定性)与真实车辆动态交互,以提高真实车辆的安全性和性能。详细介绍了数字四胞胎中的三个虚拟车辆。然后,虚拟和真实的车辆之间的交互。数字四胞胎的实验结果证明了所提出的框架的有效性。

英文摘要:

Digital quadruplets aiming to improve road safety, traffic efficiency, and driving cooperation for future connected automated vehicles are proposed with the enlightenment of ACP based parallel driving. The ACP method denotes Artificial societies, Computational experiments, and Parallel execution modules for cyber-physical-social systems. Four agents are designed in the framework of digital quadruplets: descriptive vehicles, predictive vehicles, prescriptive vehicles, and real vehicles. The three virtual vehicles (descriptive, predictive, and prescriptive) dynamically interact with the real one in order to enhance the safety and performance of the real vehicle. The details of the three virtual vehicles in the digital quadruplets are described. Then, the interactions between the virtual and real vehicles are presented. The experimental results of the digital quadruplets demonstrate the effectiveness of the proposed framework.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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