Topological Network Analysis for Transportation and Water Management Systems

The main goal of this project is to develop a general set of computational solutions that could be used to prevent and manage emergency situations in transportation and water management networks by developing a monitoring and predictive model. This monitoring and predictive model will be based on topological data analysis (TDA) in a fashion similar to the model used in systems biology but here applied to Big Data provided by transportation, communication and water management systems. The TDA thanks to its proactive approach – utilizing different sources and their correlations and generating data interpretation and association will evolve towards creating business intelligence and will improve transportation and water management safety at a system level and crisis management. This methodology is based on the study of dynamic predictive models related to individual and / or collective behavior as well, especially inspired by the models produced by systems biology.

Faculty Supervisor:

Jack Tuszynski

Student:

Mark Healey

Partner:

Mowat Technologies Inc

Discipline:

Physics / Astronomy

Sector:

Environmental industry

University:

University of Alberta