Touchscreen technologies are making their way into aircraft flight decks as a means for pilots to view and interact with flight data. However, these touchscreens are often placed at arm’s length from the pilot, and all aircraft can experience turbulence. Even without turbulence, helicopter pilots in particular can be exposed to high levels of vibration caused by rotor movements. These factors may adversely impact touchscreen usability for the flight deck environment.

The public transportation system is crucial in alleviating urban congestion. The widespread of smart card automated fare collection (AFC) system produces massive data recording passengers’ day-to-day transport dynamic, which provides unprecedented opportunities to researchers and practitioners to understand and improve transit services. This project aims to make full use of the transit operational data (mainly smart card data) to enhance transit services. The main body of the research project is spatiotemporal behavior patterns mining.

Short-term hydropower optimization models are used on a daily basis to dispatch the available water for production between the turbines of the power plants that compose an hydropower system. Rio Tinto owns and operates power plants in the Saguenay Lac-St-Jean region of the province of Quebec and is currently lacking efficient tools to help the engineers in the daily decision making for the management of their hydropower system. The objective of this project is to develop tools to solve the short-term optimization model and therefore improve the water productivity of the hydropower system.