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Commercial Cloud Computing for Connected Vehicle Applications in Transportation Cyberphysical Systems: A Case Study
IEEE Intelligent Transportation Systems Magazine ( IF 4.3 ) Pub Date : 2020-12-10 , DOI: 10.1109/mits.2020.3037314
Hsien-Wen Deng , Mizanur Rahman , Mashrur Chowdhury , M Sabbir Salek , Mitch Shue

This article focuses on the feasibility of commercial cloud services for connected vehicle (CV) applications in a transportation cyberphysical systems (TCPS) environment. TCPS implies that CVs, in addition to being connected with each other, communicate with the transportation and computing infrastructure to fulfill application requirements. The motivation of this study is to accelerate commercial cloud-based CV application development by presenting the lessons learned from implementing a CV mobility application using Amazon Web Services (AWS). The feasibility of our cloud-based CV application is assessed at three levels: 1) the development of a cloud-based TCPS architecture, 2) the deployment of a cloud-based CV application using AWS, and 3) the evaluation of the cloud-based CV application. We implemented this CV mobility application using a serverless cloud architecture and found that such a cloud-based TCPS environment could meet the permissible delay limits of CV mobility applications. As the CV penetration levels on the surface transportation systems increase significantly over the next several years, this article illustrates how the commercial cloud could automatically scale the backend infrastructure to meet the rapidly increasing demand of real-world CV applications. Through real-world experiments, we demonstrated how commercial cloud services, along with a serverless cloud architecture, can advance the transportation digital infrastructure for supporting CV mobility applications in a TCPS environment. In addition, to enable other researchers to recreate the serverless cloud computing environment in AWS efficiently and to further contribute to commercial cloud utilization for developing CV applications, an AWS CloudFormation template related to our CV mobility application is published in an open source data management platform and is referred to in this article.

中文翻译:


交通网络物理系统中联网车辆应用的商业云计算:案例研究



本文重点讨论交通网络物理系统 (TCPS) 环境中联网车辆 (CV) 应用的商业云服务的可行性。 TCPS意味着CV除了相互连接之外,还与运输和计算基础设施进行通信以满足应用程序需求。本研究的目的是通过介绍使用 Amazon Web Services (AWS) 实施 CV 移动应用程序的经验教训,加速基于云的商业 CV 应用程序的开发。我们基于云的 CV 应用程序的可行性在三个层面进行评估:1)基于云的 TCPS 架构的开发,2)使用 AWS 部署基于云的 CV 应用程序,以及 3)云的评估基于简历的应用程序。我们使用无服务器云架构实现了该 CV 移动应用程序,发现这种基于云的 TCPS 环境可以满足 CV 移动应用程序允许的延迟限制。随着未来几年CV在地面交通系统中的渗透水平显着提高,本文阐述了商业云如何自动扩展后端基础设施,以满足现实世界CV应用快速增长的需求。通过实际实验,我们演示了商业云服务以及无服务器云架构如何推进交通数字基础设施,以支持 TCPS 环境中的 CV 移动应用。 此外,为了使其他研究人员能够在 AWS 中高效地重新创建无服务器云计算环境,并进一步为开发 CV 应用程序的商业云利用做出贡献,与我们的 CV 移动应用程序相关的 AWS CloudFormation 模板已在开源数据管理平台中发布,并且本文中提到。
更新日期:2020-12-10
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