2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)最新文献_第6页

Chain Branch Leaf-Gateway, a Strategy for Dynamic Clustering and Optimal Coverage of Communication for Automated Mobility 链枝叶网关——一种自动移动通信动态聚类和最优覆盖策略

2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI) Pub Date : 2022-10-24 DOI: 10.1109/DTPI55838.2022.9998893

Sabrine Belmekki, D. Gruyer, C. Tatkeu

{"title":"Chain Branch Leaf-Gateway, a Strategy for Dynamic Clustering and Optimal Coverage of Communication for Automated Mobility","authors":"Sabrine Belmekki, D. Gruyer, C. Tatkeu","doi":"10.1109/DTPI55838.2022.9998893","DOIUrl":"https://doi.org/10.1109/DTPI55838.2022.9998893","url":null,"abstract":"One of the main issues with embedded sensors in Automated Vehicle (AV) concerns their limited perception capabilities (limited range) and short-term reaction to only close events. However, for safer operations, AVs need to anticipate distant events. To reach this goal, it is essential to propose efficient communication architectures and strategies that guarantee a high level of Quality of Service (QoS). Therefore, cooperation among communication “nodes” is essential to establish and maintain the links between vehicles or vehicles and infrastructure. However, the communication links could be interrupted in some situations such as Vehicles leaving the area covered by the communications (vehicle alone or in low vehicle density), or the high velocity of vehicles (reduced range). This paper proposes an improvement of the Chain Branch Leaf (CBL) strategy with the implementation of a Gateway mechanism (CBL-G). The initial Vehicle-to-Vehicle (V2V) strategy is now extended with a Vehicle-to-Infrastructure (V2I) configuration in motorway areas in order to guarantee V2X architecture. CBL-G objective is to develop a dynamic communication clustering strategy with a distributed and dedicated Road Side Units (RSU) topology for optimal communication coverage. The proposed solution improves the QoS for critical functions (i.e risk assessment, accurate and distributed localization) by redirecting isolated vehicle nodes and clusters to RSUs.","PeriodicalId":409822,"journal":{"name":"2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131376827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Case Study of Digital Twin for Greenhouse Horticulture Production Flow 数字孪生技术在温室园艺生产流程中的应用

2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI) Pub Date : 2022-10-24 DOI: 10.1109/DTPI55838.2022.9998914

D. A. Howard, Zheng Ma, B. Jørgensen

{"title":"A Case Study of Digital Twin for Greenhouse Horticulture Production Flow","authors":"D. A. Howard, Zheng Ma, B. Jørgensen","doi":"10.1109/DTPI55838.2022.9998914","DOIUrl":"https://doi.org/10.1109/DTPI55838.2022.9998914","url":null,"abstract":"Greenhouse horticulture production is associated with high uncertainty and a long learning process due to its high dependency on the outdoor & indoor environment and plant types. Digital Twin (DT) technology enables a faster understanding of greenhouse horticulture facilities, obtaining insight into the production process flow and investigating the consequences of production decisions. However, no digital twin has been developed in this field due to the complexity of greenhouse production. Therefore, this paper presents a case study of a DT development for a Danish greenhouse production flow using multi-method modeling and multi-agent simulation. The results show that the developed DT can accurately represent the greenhouse production process and estimate the plant growth state with an absolute error of 0.31 days compared to the observed production. Furthermore, the developed DT can accurately predict deviations to the plant growth state corresponding to previously observed behavior at the facility. To capture the greenhouse production process flow at the top-level greenhouse DT agent, the underlying physical agents developed included: compartments, growth climate, conveyors, staff, tables, plants, soil machine, table loading, and packing station as well as the packing station. Lastly, the developed DT method supports agent re-usability for other case studies.","PeriodicalId":409822,"journal":{"name":"2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131289051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Enhanced RF Modeling Accuracy Using Simple Minimum Mean-Squared Error Correction Factors 使用简单最小均方误差校正因子提高射频建模精度

2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI) Pub Date : 2022-10-24 DOI: 10.1109/DTPI55838.2022.9998888

Michael A. Varner, Frost Mitchell, Jie Wang, Kirk Webb, G. Durgin

引用次数: 4

Optimal Power Flow of Low Carbon Power System Based on NSGA2 Algorithm and Carbon Flow Theory 基于NSGA2算法和碳流理论的低碳电力系统最优潮流

2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI) Pub Date : 2022-10-24 DOI: 10.1109/DTPI55838.2022.9998972

G. Wang, Hengrui Ma, Lidong Qin, Shidong Wu, Bowen Ren

引用次数: 0

Evolutionary Deep Reinforcement Learning for Volt-VAR Control in Distribution Network 配电网电压无功控制的进化深度强化学习

2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI) Pub Date : 2022-10-24 DOI: 10.1109/DTPI55838.2022.9998947

Ruiqi Si, Tianlu Gao, Yuxin Dai, Yuyang Bai, Yuqi Jiang, Jun Zhang

引用次数: 0

Digital Twin-Assisted Lane-changing and Variable Speed Limit Control for Weaving Segments 数字双辅助变道和变速限制控制的编织段

2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI) Pub Date : 2022-10-24 DOI: 10.1109/DTPI55838.2022.9998933

Tingting Fan, I. W. Ho, E. Chung

{"title":"Digital Twin-Assisted Lane-changing and Variable Speed Limit Control for Weaving Segments","authors":"Tingting Fan, I. W. Ho, E. Chung","doi":"10.1109/DTPI55838.2022.9998933","DOIUrl":"https://doi.org/10.1109/DTPI55838.2022.9998933","url":null,"abstract":"With the rapid growth of traffic demand, the lane-changing concentration problem of weaving segments is significant on the highway, resulting in decreased operation efficiency and road safety. The cooperative intelligence transportation system (C-ITS) with vehicle-to-everything (V2X) technology provides the possibility for emerging new cooperative strategies to alleviate that problem. Most of the existing V2X-assisted traffic control strategies assume that communication and connection between vehicles are perfect, which does not reflect reality. To accurately describe the dynamics of vehicular traffic and node connections, a joint traffic and network simulator is established to construct the digital twin system, where two traffic control strategies, namely the lane-changing (LC) distribution strategy and the variable speed limit (VSL) control strategy, are proposed and validated in a complex vehicular communication network. The simulation results show that packet loss negatively affects the performance of V2X-assisted LC control, and the integrated strategy improves the overall average speed by up to 40.4%, compared with the LC control alone.","PeriodicalId":409822,"journal":{"name":"2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128979524","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Parallel Intelligence in Semantic Digital Twins: An Interactive Decision-Support System for Indoor Comfort 语义数字孪生中的并行智能:一种室内舒适交互式决策支持系统

2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI) Pub Date : 2022-10-24 DOI: 10.1109/DTPI55838.2022.9998960

Alex Donkers, Jelle van Midden, Dujuan Yang

引用次数: 0

A Digital Smart City for Emerging Mobility Systems 面向新兴移动系统的数字智慧城市

2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI) Pub Date : 2021-09-07 DOI: 10.1109/DTPI55838.2022.9998963

Ray Zayas, Logan E. Beaver, Behdad Chalaki, Heeseung Bang, Andreas A. Malikopoulos

{"title":"A Digital Smart City for Emerging Mobility Systems","authors":"Ray Zayas, Logan E. Beaver, Behdad Chalaki, Heeseung Bang, Andreas A. Malikopoulos","doi":"10.1109/DTPI55838.2022.9998963","DOIUrl":"https://doi.org/10.1109/DTPI55838.2022.9998963","url":null,"abstract":"The increasing demand for emerging mobility systems with connected and automated vehicles has imposed the necessity for quality testing environments to support their development. In this paper, we introduce a Unity-based virtual simulation environment for emerging mobility systems, called the Information and Decision Science Lab's Scaled Smart Digital City (IDS 3D City), intended to operate alongside its physical peer and its established control framework. By utilizing the Robot Operation System, AirSim, and Unity, we constructed a simulation environment capable of iteratively designing experiments significantly faster than it is possible in a physical testbed. This environment provides an intermediate step to validate the effectiveness of our control algorithms prior to their implementation in the physical testbed. The IDS 3D City also enables us to demonstrate that our control algorithms work independently of the underlying vehicle dynamics, as the vehicle dynamics introduced by AirSim operate at a different scale than our scaled smart city. Finally, we demonstrate the behavior of our digital environment by performing an experiment in both the virtual and physical environments and comparing their outputs.","PeriodicalId":409822,"journal":{"name":"2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116466067","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6