-In this paper, we propose a methodology for real-time vehicle emission monitoring near major highways using fixed and mobile sensor units. We use the U.S. Environmental Protection Agency (EPA) Motor Vehicle Emission Simulator (MOVES) to estimate the emission levels of the transportation-related air pollutants such as carbon monoxide, oxides of nitrogen, methane and hydrocarbons. We aim to correlate the collected real-time data and the MOVES simulator output emission levels. Based on the collected data from the deployed sensors, we will further calibrate the output of the MOVES simulator to provide accurate pollutant emission levels for accurate prediction of air quality near major highways.

In this paper, we use the CAL3QHC air dispersion model to predict the concentration of air pollutants of interest at desired locations. We utilize the U.S. Environmental Protection Agency (EPA) Motor Vehicle Emission Simulator (MOVES) to generate the emission levels used in our analysis. Using the output from the air dispersion model, we will develop site-specific emission information. This information will be used to map out the vertical and horizontal placement of the sensors for optimal sensor deployment. The deployed sensors will be used to monitor the concentrations of traffic related pollutants near highways in real time.