C2M2 would like to congratulate Hsien-Wen “Steven” Deng on the successful defense of his Masters Thesis and the completion of his studies in Computer Science at Clemson University. Steven received his B.S. in Computer Science and Information Engineering in 2017 from National Central University, Chung-li, Taiwan (R.O.C) before coming to Clemson to complete his MS with Drs. Dr. Mashrur “Ronnie” Chowdhury and Amy Apon. His research interests include Cloud Computing, Transportation Cyber-Physical Systems (TCPS) and Internet of Things (IoT). After his graduation in December Steven will be leaving Clemson to pursue an industry career.
Steven’s MS Thesis Abstract:
The objective of this study is to assess the feasibility of cloud-based real-time connected vehicle (CV) applications. The author developed a cloud-based speed advisory application for CVs in a signalized corridor to achieve this objective. The contribution of this study is threefold. First, it introduced a serverless cloud computing architecture using Amazon Web Services (AWS) for real-time CV applications. Second, the author developed a real-time optimization-based speed advisory algorithm that is deployable in AWS. Third, this study utilized a cloud-in-the-loop simulation testbed using AWS and Simulation of Urban Mobility (SUMO), which is a microscopic traffic simulator. The author conducted experiments on cloud access at three-hour intervals over a 24-hour period in one day. These experiments revealed that the total data upload and download time to and from AWS via LTE is on average 92 milliseconds, which meets the allowable delay requirement for real-time CV traffic mobility applications. The author conducted a case study by implementing the speed advisory application in a cloud-in-the-loop simulation testbed. The analyses revealed that the cloud-based speed advisory application can reduce stopped delay up to 98% and fuel consumption up to 12.7% for connected vehicles at signalized intersections compared to the baseline scenario (i.e., no speed advisory in the signalized corridor).