Big Data Analytics for GPS Fleet Management

The project will develop a data mining strategy on how to efficiently use Geotab’s data from multiple sources to isolate network connectivity logs in Geotab’s data, interpolate the GPS coordinates associated with network logs, acquire fuel consumption rates and related opportunities. It will involve a literature survey of the existing algorithms to gain valuable insights. It will also include an important research component to analyze, understand, and develop trends using the available data to compare and corelate the results. The interns shall work toward enriching the data files as required, compare the performance of big data source providers, upload the data to the big data source and use appropriate data visualization tools for the fleet productivity and safety.

Faculty Supervisor:

Dr. Mariano Consens

Student:

Vandana Saini & Fiona (Yi) Zhao

Partner:

Geotab

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of Toronto