Date Approved


Embargo Period


Document Type


Degree Name

Master of Science in Civil Engineering


Civil and Environmental Engineering


Henry M. Rowan College of Engineering


Jagadish Torlapati, Ph.D.

Committee Member 1

Yusuf Mehta, Ph.D

Committee Member 2

Parth Bhavsar, Ph.D.


Air Quaility, Emissions Model, PAH, Polycyclic Aromatic Hydrocarbons, Traffic Emissions, Traffic Model


Air--Pollution; Motor vehicles


Civil and Environmental Engineering | Engineering


Traffic emissions near intersections can increase significantly due to idling as well as stop-and-go traffic conditions. Increased emissions of pollutants like particulate matter (PM), nitrogen oxides (NOx), carbon monoxide (CO), and polycyclic aromatic hydrocarbons (PAHs) found in traffic exhaust deteriorate the health of the population that is exposed to them. Since general traffic emissions are increased by the stop-and-go conditions produced at intersections, PAH traffic emissions should also increase from intersection driving conditions. The intersection of Dr. Martin Luther King Jr. Blvd and Haddon Ave in Camden, NJ was identified as an ideal site to study PAH traffic emissions. To identify intersection effect on PAH emissions, the traffic modeler VISSIM was used to generate individual vehicle data for intersection driving conditions and hypothetical uncontrolled “Free-Flow” driving conditions based on traffic data obtained from Go Pro videos of the intersection. Output data from VISSIM was converted into input data for the emissions modeler MOVES3 using, VISSIM-MOVES Integration, an Excel-based tool developed for this study. The MOVES results were limited to the PM and PAH emissions to compare with collected air samples. The model showed that particle-bound PAH emissions were 2.4 to 3.4 times higher at intersections and gaseous PAH and PM emissions were twice as high.