Date Approved

5-31-2023

Embargo Period

6-1-2023

Document Type

Thesis

Degree Name

Master of Science in Civil Engineering

Department

Civil and Environmental Engineering

College

Henry M. Rowan College of Engineering

Advisor

Jagadish Torlapati, Ph.D.

Committee Member 1

Yusuf Mehta, Ph.D

Committee Member 2

Parth Bhavsar, Ph.D.

Keywords

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

Subject(s)

Air--Pollution; Motor vehicles

Disciplines

Civil and Environmental Engineering | Engineering

Abstract

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.

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