Lessons Learned from the Real-world Deployment of a Connected Vehicle\n Testbed

The connected vehicle (CV) system promises unprecedented safety, mobility,\nenvironmental, economic and social benefits, which can be unlocked using the\nenormous amount of data shared between vehicles and infrastructure (e.g.,\ntraffic signals, centers). Real world CV deployments including pilot\ndeployments help solve technical issues and observe potential benefits, both of\nwhich support the broader adoption of the CV system. This study focused on the\nClemson University Connected Vehicle Testbed (CUCVT) with the goal of sharing\nthe lessons learned from the CUCVT deployment. The motivation of this study was\nto enhance early CV deployments with the objective of depicting the lessons\nlearned from the CUCVT testbed, which includes unique features to support\nmultiple CV applications running simultaneously. The lessons learned in the\nCUCVT testbed are described at three different levels: i) the development of\nsystem architecture and prototyping in a controlled environment, ii) the\ndeployment of the CUCVT testbed, and iii) the validation of the CV application\nexperiments in the CUCVT. Our field experiments with a CV application validated\nthe functionalities needed for running multiple diverse CV applications\nsimultaneously under heterogeneous wireless networking, and realtime and non\nreal time data analytics requirements. The unique deployment experiences,\nrelated to heterogeneous wireless networks, real time data aggregation, a\ndistribution using broker system and data archiving with big data management\ntools, gained from the CUCVT testbed, could be used to advance CV research and\nguide public and private agencies for the deployment of CVs in the real world.\n