This research intends to acquire a better understanding of driver behaviour, fuel consumption and the greenhouse gas emissions associated with the operation of ski resort fleet. Twenty‐six light and medium duty vehicles at ski resorts will be equipped with an onboard logging device that records electronic engine data (i.e.: idle time, distance travelled, highest speed, fuel efficiency, fuel cost, hard braking and acceleration thresholds) over an 8 month period.
This project aims to develop mathematical models, resolution algorithms, and a decision support tool for the development of game schedules for university sports in Quebec such as football, soccer, volleyball and basketball.
This project aims at performance modelling of athletes and involves the collection of detailed data that affects rider performance in professional cycling. This data is utilized for assessment of training and performance and for supporting individual training schedules through modelling and profiling of individual athletes. The methodology is based on pattern discovery and recognition using Self Organizing Maps, an exploratory data analysis model of demonstrated success in automated monitoring tasks involving multiple parameters.