BMDA 2020Big Mobility Data Analytics

Topics of Interest

The workshop intends to bridge the gap between researchers and big data stakeholders, including experts from critical domains, such as urban / maritime / aviation transportation, human complex networks, etc. Most importantly it aims to unveil real‐world problems and show off novel solutions in such domains that require innovative data analytics solutions.

Multiple fields of data analytics relate to the objectives of this workshop, including, but not limited to:

• Fundamentals of mobility data analytics
• Big data platforms for mobility data analytics
• Parallel / streaming data processing for mobility analytics
• Predictive analytics using mobility data
• Complex event detection for moving objects
• Visual analytics on big mobility data
• Mobility-as-a-Service
• Interactive traffic analysis with GPS data
• Urban / maritime / aviation traffic flow forecasting
• Urban / maritime / aviation travel time prediction
• Integration / interlinking of mobility with societal data
• Geosocial networks
• Philosophical / ethical / privacy issues on mobility data analytics

Details and Dates

We invite papers discussing novel research and ideas without substantial overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings. Submitted papers can be of two types:

• Regular Research Papers: these papers should report original research results or significant case studies. They should be 5000-8000 words (at most 8 pages) long.
• Position Papers: these papers should report novel research directions or identify challenging problems. They should be at most 4 pages long. 

Following the tradition of recent EDBT/ICDT workshops, all workshop papers will be published online at CEUR (under CC-By licence). Please check Paper Submission for submission guidelines.