MassMotion software is used to predict how people will behave in a structure on fire with reduced uncertainties.

This research studies how human behaviour effects our built environment. Basically how in emergencies we need to plan for real behaviour of people and plan the buildings design appropriately to ensure everyone can escape or leave before untenable situations arise. Subsequently we study real behaviour and our team’s strength is the collection of real human behavioural data to inform Artificial Intelligence models in pedestrain modelling software.

This research programme forms a multi- year collaboration with Arup and SFPE, on a research programme called: Modelling Human Behaviour for Improving Infrastructure in Canada. The research has strong emphasis on data collection and subsequent tool development. The  program began in 2015 and has received financial contributions from NSERC Canada, SFPE and ARUP.

Our current focus is in multiple areas related to human behaviour in emergencies: long term care homes; Museums, Stadiums, hi-rise, transportation infrastructure (airports and train stations), and city evacuation in emergency. All of these projects involve real buildings.

Each summer, our research team offers an annual international graduate course to help  professionals and students learn human behaviour in emergency conditions. We have several papers recently published which all can be accessed in the publications section.

Our work on stadiums is our strength and is an extensive project. To date we have performed over 15 ingress and egress studies on various Canadian stadiums holding 10,000 people or more. These large-scale monitoring events are being carried out by our team to better understand the movement behavior of spectators and to provide validation for simulated modelling tools.