Nicolas Saunier obtained his Ph.D. in Computer Science in France in April 2005 at the French National Engineering School for Telecommunications (Telecom ParisTech) and the French National Institute for Transportation and Safety Research (INRETS), using Machine Learning methods to study the influence of traffic control in a signalized intersection on the risk of road users. For the next 4 years as postdoctoral fellow and research associate at the Departement of Civil Engineering of the University of British Columbia (UBC), he developed automated methods for traffic monitoring and road safety analysis, including for pedestrians. Since September 2009, he is now an assistant professor in Transportation at the École Polytechnique de Montréal. His interests include intelligent transportation systems, road safety, and information technology for transportation (data collection, processing, using machine learning techniques, and visualization).
N. Saunier, T. Sayed and K. Ismail. Large Scale Automated Analysis of Vehicle Interactions and Collisions. Transportation Research Record: Journal of the Transportation Research Board, 2147:42-50, 2010.
K. Ismail, T. Sayed and N. Saunier. Automated Analysis Of Pedestrian-vehicle Conflicts: Context For Before-and-after Studies. Transportation Research Record: Journal of the Transportation Research Board, 2198:52-64, 2010.
N. Saunier and T. Sayed. Probabilistic Framework for the Automated Analysis of the Exposure to Road Collision. Transportation Research Record: Journal of the Transportation Research Board, 2083:96-104, 2008.
Young Researcher Award of the TRB Safety Data, Analysis, and Evaluation Committee 2011
Outstanding paper award of the TRB Pedestrian committee 2010