Lessons Learned from the Real-World Deployment of a Connected Vehicle Testbed
Lessons Learned from the Real-World Deployment of a Connected Vehicle Testbed
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从联网车辆测试台的实际部署中汲取的经验教训
DOI：
10.1177/0361198118799034
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发表时间：
2017
影响因子：
1.7
通讯作者：
James J. Martin
中科院分区：
文献类型：
--
作者：
M. Chowdhury;Mizanur Rahman;Anjan Rayamajhi;S. Khan;Mhafuzul Islam;Zadid Khan;James J. Martin
互联汽车（CV）系统有望带来前所未有的安全性、移动性、环境、经济和社会效益，这些都可以通过车辆与基础设施（如交通信号、中心）之间共享的大量数据来实现。实际的自动驾驶汽车部署，包括试点部署，有助于解决技术问题并观察潜在的好处，这两者都支持自动驾驶汽车系统的广泛采用。这项研究的重点是克莱姆森大学的联网车辆测试平台（CU-CVT），目的是分享从CU-CVT部署中获得的经验教训。这项研究的动机是通过描述从CU-CVT试验台获得的经验教训来增强早期的CV部署，该试验台包括支持多个CV应用程序同时运行的独特功能。从CU-CVT试验台获得的经验教训分为三个不同的层次：(i)在受控环境中开发系统架构和原型，（ii）部署CU-CVT试验台，以及（iii）验证CV在CU-CVT中的应用实验。CV应用的现场实验验证了使用异构无线网络同时运行多个不同CV应用所需的功能，并满足实时和非实时应用需求。CU-CVT试验台在异构无线网络、实时数据聚合、使用代理系统进行数据传播和处理以及使用大数据管理工具进行数据归档等方面的独特部署经验，可用于推进CV研究，并指导公共和私营机构在现实世界中部署CV。
The connected vehicle (CV) system promises unprecedented safety, mobility, environmental, economic, and social benefits, which can be unlocked using the enormous amount of data shared between vehicles and infrastructure (e.g., traffic signals, centers). Real-world CV deployments, including pilot deployments, help solve technical issues and observe potential benefits, both of which support the broader adoption of the CV system. This study focused on the Clemson University Connected Vehicle Testbed (CU-CVT) with the goal of sharing the lessons learned from the CU-CVT deployment. The motivation of this study was to enhance early CV deployments with the objective of depicting the lessons learned from the CU-CVT testbed, which includes unique features to support multiple CV applications running simultaneously. The lessons learned in the CU-CVT testbed are described at three different levels: (i) the development of system architecture and prototyping in a controlled environment, (ii) the deployment of the CU-CVT testbed, and (iii) the validation of the CV application experiments in the CU-CVT. Field experiments with CV applications validated the functionalities needed for running multiple diverse CV applications simultaneously using heterogeneous wireless networking, and meeting real-time and non-real-time application requirements. The unique deployment experiences, related to heterogeneous wireless networks, real-time data aggregation, data dissemination and processing using a broker system, and data archiving with big data management tools, gained from the CU-CVT testbed, could be used to advance CV research and guide public and private agencies for the deployment of CVs in the real world.