A Three-Tier Incremental Approach for Development of Smart Corridor Digital Twins

Abhilasha J. Saroj, M. Hunter, Somdut Roy, Angshuman Guin
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Abstract

Development of an arterial smart corridor digital twin requires the integration of real time data streams, data storage, and simulation model execution. This process may be complex, time consuming, and susceptible to errors. To aid in smart corridor digital twin development this paper seeks to provide a framework, best practices, and development guidance. As such, a three-tier incremental approach to smart corridor digital twin development is presented. The paper highlights practical issues in digital twin construction along with key data challenges based on experiences from the development of digital twins for two large Smart Corridor deployments, one in Chattanooga, Tennessee, and the other in Atlanta, Georgia. The presented three-tier incremental approach includes: 1) development of a prepopulated offline simulation, 2) development of a pseudo digital twin that is driven by archived data, and 3) integration of real time data streams to create the online digital twin model. The three-tiered approach facilitates conducting multiple trials and scenarios with increasing complexity, allowing for incremental error processing and updating of the digital twin.
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智能走廊数字孪生体发展的三层增量方法
开发动脉智能走廊数字孪生需要集成实时数据流、数据存储和仿真模型执行。这个过程可能很复杂,耗时,而且容易出错。为了帮助智能走廊数字孪生体的发展,本文试图提供一个框架、最佳实践和发展指导。因此,提出了智能走廊数字孪生发展的三层增量方法。本文根据两个大型智能走廊部署(一个在田纳西州查塔努加,另一个在佐治亚州亚特兰大)的数字双胞胎开发经验,重点介绍了数字双胞胎建设中的实际问题以及关键数据挑战。提出的三层增量方法包括:1)开发预填充的离线模拟,2)开发由存档数据驱动的伪数字孪生,以及3)集成实时数据流以创建在线数字孪生模型。这种三层的方法有助于进行越来越复杂的多个试验和场景,允许增量错误处理和数字孪生的更新。
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