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Cyber-Physical-Social System for Parallel Driving: From Concept to Application
IEEE Intelligent Transportation Systems Magazine ( IF 4.3 ) Pub Date : 2020-09-21 , DOI: 10.1109/mits.2020.3014079
Teng Liu , Yang Xing , Xiaolin Tang , Hong Wang , Huilong Yu , Fei-Yue Wang

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 cyberphysical-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 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.

中文翻译:

并行驾驶的网络-物理-社会系统:从概念到应用

在基于ACP的并行驾驶的启发下,提出了旨在提高道路安全性,交通效率以及未来联网自动驾驶驾驶合作的数字四联体。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。在数字四联体框架中设计了四个代理:描述性媒介,预测性媒介,描述性媒介和真实媒介。这三种虚拟车辆(描述性,预测性和说明性)与真实车辆动态交互,以增强真实车辆的安全性和性能。描述了数字四联体中的三个虚拟车辆的细节。然后,提出了虚拟车辆和真实车辆之间的相互作用。
更新日期:2020-09-21
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