Exploring a Smart Cloud Commuting Service
October 20, 2020
About the Webinar
This presentation featured a brief overview of project funded by the National Science Foundation on a "Smart Cloud Commuting Service" (SCCS) via shared autonomous vehicles (SAVs). It will also highlight two preliminary studies exploring the feasibility of the envisaged SCCS. The first includes the development of a queuing theoretical model to determine how many SAVs are needed to serve peak commute demands. The second involves a proposed hybrid spoke-n-hub with point-to-point transit service model that leverages the flexibility and autonomy of SAVs.
This webinar was held in conjunction with a meeting of the CTS Transportation Safety and Traffic Flow Research Council.
Webinar Recording & Materials
Zhi-Li Zhang is the associate director for research at the Digital Technology Center and a Distinguished McKnight University Professor and Qwest Chair Professor in the Department of Computer Science and Engineering at the University of Minnesota. His research interests include computer communication and networks, Internet technology, multimedia, and emerging applications.
Yanhua Li is an assistant professor in the Computer Science Department and Data Science Program at Worcester Polytechnic Institute in Worcester, MA. His research interests include artificial intelligence and big data analytics in many contexts, including urban intelligence, smart cities, and urban planning and optimization.
To the best of our knowledge, this webinar meets the continuing education requirements for 1.75 Professional Development Hours (PDHs) and 1.75 American Institute of Certified Planners (AICP) Certification Maintenance credits.