scholarly journals Digital Twin Simulation of Connected and Automated Vehicles with the Unity Game Engine

2021 ◽  
Author(s):  
Ziran Wang
Keyword(s):  
Cloud Computing ◽  
Adaptive Cruise Control ◽  
Physical World ◽  
Game Engine ◽  
Cruise Control ◽  
Automated Vehicles ◽  
Digital Twin ◽  
Digital World ◽  
Real Entity

A Digital Twin is defined as a digital replica of a real entity in the physical world. In this study, the Digital Twin simulation is developed for connected and automated vehicles (CAVs) by leveraging the Unity game engine. A Digital Twin simulation architecture is proposed, which contains the physical world and the digital world. Particularly, the digital world consists of three layers, where the Unity game objects are built to simulate the "hardware", the Unity scripting API are used to simulate the "software", and external tools (e.g., SUMO, MATLAB, python, and/or AWS) are leveraged to enhance the simulation functionalities. A case study of personazlied adaptive cruise control (P-ACC) is conducted to showcase the effectiveness of the proposed Digital Twin simulation, where the ACC system can be designed to satisfy each driver's preference with the help of cloud computing.

scholarly journals Digital Twin Simulation of Connected and Automated Vehicles with the Unity Game Engine

2021 ◽  
Author(s):  
Ziran Wang
Keyword(s):  
Cloud Computing ◽  
Adaptive Cruise Control ◽  
Physical World ◽  
Game Engine ◽  
Cruise Control ◽  
Automated Vehicles ◽  
Digital Twin ◽  
Digital World ◽  
Real Entity

A Digital Twin is defined as a digital replica of a real entity in the physical world. In this study, the Digital Twin simulation is developed for connected and automated vehicles (CAVs) by leveraging the Unity game engine. A Digital Twin simulation architecture is proposed, which contains the physical world and the digital world. Particularly, the digital world consists of three layers, where the Unity game objects are built to simulate the "hardware", the Unity scripting API are used to simulate the "software", and external tools (e.g., SUMO, MATLAB, python, and/or AWS) are leveraged to enhance the simulation functionalities. A case study of personazlied adaptive cruise control (P-ACC) is conducted to showcase the effectiveness of the proposed Digital Twin simulation, where the ACC system can be designed to satisfy each driver's preference with the help of cloud computing.

scholarly journals Model-Based Control Design and Integration of Cyberphysical Systems: An Adaptive Cruise Control Case Study

2013 ◽  
Vol 2013 ◽  
pp. 1-15 ◽  
Author(s):  
Emeka Eyisi ◽  
Zhenkai Zhang ◽  
Xenofon Koutsoukos ◽  
Joseph Porter ◽  
Gabor Karsai ◽  
...  
Keyword(s):  
Adaptive Cruise Control ◽  
Control Design ◽  
Systematic Design ◽  
Cyberphysical Systems ◽  
Cruise Control ◽  
Automotive Control ◽  
Experimental Platform ◽  
Complex Interactions ◽  
Systematic Methodology

The systematic design of automotive control applications is a challenging problem due to lack of understanding of the complex and tight interactions that often manifest during the integration of components from the control design phase with the components from software generation and deployment on actual platform/network. In order to address this challenge, we present a systematic methodology and a toolchain using well-defined models to integrate components from various design phases with specific emphasis on restricting the complex interactions that manifest during integration such as timing, deployment, and quantization. We present an experimental platform for the evaluation and testing of the design process. The approach is applied to the development of an adaptive cruise control, and we present experimental results that demonstrate the efficacy of the approach.

Digital Twin-Based Control Approach for Industrial Cloud Robotics

2019 ◽  
Author(s):  
Lan Li ◽  
Wenjun Xu ◽  
Zhihao Liu ◽  
Bitao Yao ◽  
Zude Zhou ◽  
...  
Keyword(s):  
Intelligent Agents ◽  
Effective Means ◽  
Physical World ◽  
Cloud Services ◽  
Industrial Robots ◽  
Control Approach ◽  
Digital Twin ◽  
Digital World ◽  
Cloud Robotics ◽  
Industrial Cloud

Abstract Industrial robots can be mechanical intelligent agents by integrating programs, intelligent algorithms and facilitating intelligent manufacturing models from cyber world into physical entities. After introducing the concept of cloud, their storage, computing, knowledge sharing and evolution capabilities are further strengthened. Digital twin is an effective means to achieve the fusion of physics and information. Therefore, it is feasible to introduce the digital twin to the industrial cloud robotics (ICR), in order to facilitate the control optimization of robots’ running state. The traditional manufacturing task-oriented service composition is limited to execution in the cloud, and it is separated from the underlying robot equipment control, which greatly reduces the real-time performance and accuracy of the underlying service response, such as Robotic Control as a Cloud Service (RCaaCS). Therefore, this paper proposes a digital twin-based control approach for ICR. At the manufacturing cell level, robots’ control instruction service modeling is conducted, and then the control service in the digital world is mapped to the robot action control in the physical world through the concept of digital twin. The accumulated operational data in the physical world can be fed back to the digital world as a reference for simulation and control strategy adjustment, finally achieving the integration of cloud services and robot control. A case study based on workpiece disassembly is presented to verify the availability and effectiveness of the proposed control approach.

scholarly journals Fazenda inteligente: desenvolvimento de um gêmeo digital para um sistema de irrigação

2021 ◽  
Author(s):  
◽  
R. G. Alves
Keyword(s):  
Internet Of Things ◽  
Irrigation System ◽  
Physical World ◽  
Simulation Software ◽  
The Internet ◽  
Discrete Events ◽  
Digital Twin ◽  
Digital World ◽  
Current State ◽  
The Internet Of Things

World agriculture faces the challenge of increasing its agricultural production by 50% from 2012 to 2050, while reducing water consumption as agriculture accounts for 69% of all fresh water used on the planet. Given this scenario, the use of technologies such as the Internet of Things, Big Data, cyber-physical systems, among others, in the agricultural environment is increasingly necessary to ensure an increase in productivity and a decrease in the consumption of natural resources, thus the concept of smart farm emerges. Within this context, a digital twin for an irrigation system was developed in this work using the simulation software for discrete events integrated within an Internet of Things platform. The digital twin allows an exchange of information between the physical world and the digital world automatically, enabling the farmer to assess the current state of his irrigation system, validate the behavior of the given irrigation recommendation and execute this validated irrigation recommendation. The communication between the various components of the Internet of Things platform and the software was applied to evaluate only the digital part of the digital twin. In this way, it is possible to evaluate the correct functioning of the platform and the irrigation system through the digital model before implanting the platform and the system in the field. It is estimated that after the implantation of the platform and the system in the field it would still be possible to monitor its behavior over time, thus allowing a digital twin for an irrigation system to be functional during an entire harvest

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