Date of Award


Document Type


Degree Name

Master of Science (MS)


Computer Engineering and Sciences

First Advisor

Aldo Fabregas Ariza

Second Advisor

Munevver Subasi

Third Advisor

Luis Daniel Otero

Fourth Advisor

Muzaffar Shaikh


Transportation agencies strive to keep people and goods moving. Operation and maintenance of transportation infrastructure is key to accomplish their objectives. Intelligent Transportation Systems (ITS) applications rely on massive detection grids that collectively demand significant maintenance resources. Resource constraints force transportation agencies to look for innovative ways to optimize their operational and maintenance costs while serving their users at intended performance levels. This paper presents a Systems Engineering (SE) view to derive traffic detection sensor requirements for components and subsystems based on application-specific needs. The goal of the approach is to obtain stakeholders view of an acceptable performance based on the top-level functionality for a given ITS application. The proposed approach uses a simulation model to obtain quantitative evidence of the minimum performance for the detection system.