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智慧城市数字孪生框架架构的发展趋势:以智能交通为例

Trends in Digital Twin Framework Architectures for Smart Cities: A Case Study in Smart Mobility.

作者信息

Faliagka Evanthia, Christopoulou Eleni, Ringas Dimitrios, Politi Tanya, Kostis Nikos, Leonardos Dimitris, Tranoris Christos, Antonopoulos Christos P, Denazis Spyros, Voros Nikolaos

机构信息

ECE Department, University of Peloponnese, 26334 Patras, Greece.

Department of Informatics, Ionian University, 49132 Corfu, Greece.

出版信息

Sensors (Basel). 2024 Mar 4;24(5):1665. doi: 10.3390/s24051665.

Abstract

The main aim of this paper is to present an innovative approach to addressing the challenges of smart mobility exploiting digital twins within the METACITIES initiative. We have worked on this issue due to the increasing complexity of urban transportation systems, coupled with the urgent need to improve efficiency, safety, and sustainability in cities. The work presented in this paper is part of the project METACITIES, an Excellence Hub that spans a large geographical area, that of Southeastern Europe. The approach of the Greek innovation ecosystem of METACITIES involves leveraging digital twin technology to create intelligent replicas of urban mobility environments, enabling real-time monitoring, analysis, and decision making. Through use cases such as "Smart Parking", "Environmental Behavior Analysis on Traffic Incidents", and "Emergency Management", we demonstrate how digital twins can optimize traffic flow, mitigate environmental impact, and enhance emergency response; these use cases will be tested on a small scale, before deciding on implementation at a larger and more expensive scale. The final outcome is the METACITIES Architecture for smart mobility, which will be part of an Open Digital Twin Framework capable of evolving a smart city into a metacity.

摘要

本文的主要目的是提出一种创新方法,以应对在“元城市”倡议中利用数字孪生解决智能交通挑战的问题。由于城市交通系统日益复杂,再加上迫切需要提高城市的效率、安全性和可持续性,我们一直在研究这个问题。本文所介绍的工作是“元城市”项目的一部分,该项目是一个卓越中心,覆盖东南欧这一广大地理区域。“元城市”的希腊创新生态系统方法包括利用数字孪生技术创建城市交通环境的智能副本,实现实时监测、分析和决策。通过“智能停车”“交通事故环境行为分析”和“应急管理”等用例,我们展示了数字孪生如何优化交通流量、减轻环境影响并加强应急响应;这些用例将在小规模上进行测试,然后再决定是否以更大规模和更高成本实施。最终成果是用于智能交通的“元城市”架构,它将成为能够将智慧城市发展为元城市的开放数字孪生框架的一部分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/470e/10934255/7608d8f209f9/sensors-24-01665-g001.jpg

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