Date of Award
5-2017
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Computer Engineering and Sciences
First Advisor
Aldo Fabregas Ariza
Second Advisor
Munevver Subasi
Third Advisor
Luis Daniel Otero
Fourth Advisor
Muzaffar Shaikh
Abstract
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.
Recommended Citation
Goncalves Pereira Mendonca, Thiago, "Application-Driven Traffic Sensor System Acceptance Tests for Intelligent Transportation Systems" (2017). Theses and Dissertations. 757.
https://repository.fit.edu/etd/757