Graduate Studies


First Advisor

Laurence R. Rilett

Second Advisor

Aemal Khattak

Third Advisor

Ronald Faller

Date of this Version

Summer 7-2019

Document Type



A THESIS Presented to the Faculty of The Graduate College at the University of Nebraska In Partial Fulfillment of Requirements For the Degree of Master of Science, Major: Civil Engineering, Under the Supervision of Professor Laurence R. Rilett. Lincoln, Nebraska: July, 2019

Copyright 2019 Santos E. Ramos


One of the challenges in designing an Entry Control Facility (ECF) is the trade-off between serving a high traffic volume of vehicles entering the base, while simultaneously protecting the military base from a threat. It was felt that the ability to simulate the ECF would allow the designers to have a more accurate methodology for estimating the capacity and traffic operations of different ECF safety schemes. The goal of this research effort was to develop three Synchro/SimTraffic 9 microsimulation templates that will allow users to forecast the traffic flow and capacity of different Entry Control Facility designs.

The three Synchro/SimTraffic templates were created to model ECF safety scenarios. This document describes the methodology for ensuring that the modeling procedures were accurately representing the different aspects and operations of the ECF appropriately. The verification process examined detector location, ID checkpoint processing rates, and platooning of vehicles. It was found that the default templates can be used to examine different ECF designs under varying traffic volume and traffic operation conditions. The sensitivity analysis examined how the various components of the ECF, as well as the entire system, performed under varying demand levels. The results were internally consistent, and the templates performed as expected. It is important to note that the ECF templates were not calibrated/validated due to a lack of ECF empirical data. This work was sponsored by the Surface Deployment and Distribution Command Transportation Engineering Agency (SDDCTEA).

Advisor: Laurence R. Rilett