TEPs is a software application for predicting road traffic volume and on-road emissions in urban areas. TEPs uses traffic count data to predict periodic and annual volumes as well as GHG emissions at the level of each individual roadway for different years. Model outputs are automatically validated against observed traffic counts, demonstrating robust model performance.
TEPs can be easily used to quantify the impact of different scenarios on on-road emission in urban areas. TEPs has parallel computing capability.
Senior Research Associate, Transportation and Air Quality research group TRAQ
Manager of Climate Science for Engineering Centre (CSE)
Department of Civil & Mineral Engineering, University of Toronto 35 St. George St. Toronto, Ontario Canada, M5S 1A4 Tel.: 416-978-5417 firstname.lastname@example.org
Dr. Arman Ganji has a background in environmental, air quality and Emission modelling, climate and water resources analysis under uncertainty. He is the main model developer for TEPs whose applications have included regional traffic and emission prediction in urban areas . He also has extensive experience in climate change with a focus on land surface modelling.
Department of Civil & Mineral Engineering, University of Toronto 35 St. George St. Toronto, Ontario Canada, M5S 1A4 Tel.: 416-978-0864 email@example.com
Professor Hatzopoulou research area bridges between transportation and environmental analysis; and the main expertise is in modelling of road transport emissions and urban air quality as well as evaluating population exposure to air pollution. She is interested in capturing the interactions between the daily activities and travel patterns of urban dwellers and the generation and dispersion of traffic emissions in urban environments. She leads an active research group focusing on modelling traffic emissions and near-road air quality as well as near-road air pollution monitoring and characterization.
This project was supported by The City of Toronto's Transportation Services Division and Atmospheric Fund
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