Traffic and parking congestion are significant issues at many universities nationwide. The delays experienced result in wasted time, money, and fuel for students, faculty and staff, not to mention the negative contributions to the environment. This paper quantifies the amount of vehicle emissions generated during an average morning peak hour in the university environment. Using VISSIM and CMEM microsimulation packages, a model is created for California Polytechnic State University- San Luis Obispo to aggregate the collective transportation behaviors and practices of the campus and recognize the implications these behaviors pose on the transportation network as a whole. Reasonable estimates are generated for overall HC, CO, and NOx type emissions as well as fuel consumption. Scenarios are proposed which reflect the sensitivity of outputs to key input parameters. The findings of this research can be useful for future campus planning and the ideas can be extended to similar environments with traffic and parking problems such as business parks, corporate campuses, downtown districts, and special event venues.