IEEE BigData 2021 Workshop

Cloud Computing for Big Transportation Data

Introduction to workshop

Transportation systems are being connected like never before imagined. Vast amounts of data, which retain the 5V (volume, velocity, variety, veracity and value) characteristics of big data, will be transmitted from diverse sources across connected transportation systems. Cloud computing platforms provide an extensive computing infrastructure and a wide array of services that are highly available, accessible, and scalable. These platforms exhibit considerable potential for big data management tasks, such as processing, transmitting, and archiving both real-time and archival data. The goal of the workshop is to bring together diverse research communities that apply cloud computing for big transportation data in the rapidly evolving connected and automated transportation domain. This workshop provides a forum for engineers and scientists in academia, industry, and government to present their latest research findings in emerging areas of cloud computing for big transportation data.


Invited keynote speaker

Professor Mashrur “Ronnie” Chowdhury, Clemson University, Clemson, South Carolina, USA


Research topics include, but not limited to, in the workshop

  • Big Transportation Data Mining and Knowledge Discovery using Cloud Computing
  • Cloud Computing for Real-time Transportation Applications using Big Data
  • Cloud-based Machine Learning Methods for Big Transportation Data Management
  • Scalability of Cloud Computing for Big Transportation Data Processing
  • Big Transportation Data Security using Cloud Computing
  • Big Transportation Data Privacy using Cloud Computing
  • Parallel and Distributed Cloud Computing for Big Transportation Data


Important dates

  • Oct 1, 2021: Due date for full workshop papers submission
  • Nov 1, 2021: Notification of paper acceptance to authors
  • Nov 20, 2021: Camera-ready of accepted papers
  • Dec 15-18, 2021: Workshops