Parallel Internet of Vehicles: The ACP-based Networked Management and Control for Intelligent Vehicles

被引：0
|
作者：
Wang X. [1 ,2 ]
Yao T.-T. [1 ,3 ]
Han S.-S. [1 ,2 ,3 ]
Cao D.-P. [2 ,4 ]
Wang F.-Y. [1 ,5 ]
机构：
[1] The State Key Laboratory for Management and Control of Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing
[2] Qingdao Academy of Intelligent Industries, Qingdao
[3] Vehicle Intelligence Pioneers Inc., Qingdao
[4] School of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo
[5] Research Center of Military Computational Experiments and Parallel Systems, National University of Defense Technology, Changsha
来源：
Zidonghua Xuebao/Acta Automatica Sinica | 2018年 / 44卷 / 08期
基金：
中国国家自然科学基金;
关键词：
Computational experiments; Intelligent transportation systems; Parallel intelligence; Parallel internet of vehicles;
D O I：
10.16383/j.aas.2018.c170463
中图分类号：
学科分类号：
摘要：
This paper applies the ACP-based parallel intelligence methods into the networked management and control for intelligent vehicles, and proposes the concepts, frameworks, capabilities and processes of Parallel Internet of Vehicles (PIoV). Via the construction of artificial IoV systems that perform interaction, co-evolution, and closed-loop feedback with IoV systems, PIoV aims to offer the human-vehicle-road-traffic information integrated IoV systems with key capabilities including computational experiments, parallel planning and decision-making, thus realizing the effective management and control of intelligent vehicles in the time-varying, heterogeneous, complex traffic environment with descriptive intelligence, predictive intelligence and prescriptive intelligence. Copyright © 2018 Acta Automatica Sinica. All rights reserved.
引用
收藏
页码：1391 / 1404
页数：13
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