Vehicle Model Emission Factor Enhancements

Vehicle emissions make up a significant amount of air pollution in urban environments. Planners and engineers use numerical models to estimate and predict how much pollution is generated from cars, however these models typically rely on the assumption that all traffic flows smoothly and without interruptions. Real lifedriving varies greatly based on time of day, proximity to different land uses, how different drivers operate their vehicles, and the type of traffic controls in place. This project will prepare factors to improve the accuracy of vehicle emission models based on road features and how drivers operate their vehicles. The same data will also be used to evaluate how traffic conditions impact regional air quality by comparing historical satellite data with traffic volume and congestion.

Faculty Supervisor:

Bahram Gharabaghi

Student:

Brian Freeman

Partner:

Lakes Environmental Software

Discipline:

Engineering

Sector:

Environmental industry

University:

University of Guelph