Ontology-driven integration of data for freight performance measures
Abstract
Transportation performance measures are defined as quantitative and qualitative indicators that rely on data or information to explain mobility, congestion, safety, environmental and other factors. Though performance measures have been used for freeways and other highways, not many have been specified and applied to the freight transportation system. Recently, freight performance measures have been recommended by Federal Highway Administration to quantify the operating efficiency of the freight transportation system on existing infrastructures. This research seeks to expand this concept and to develop a comprehensive freight performance measurement framework. The expanded framework recommended in this thesis consists of four criteria: safety, mobility, congestion, and environment. Each criterion consists of several qualitative and quantitative indicators. An ontology approach is used to integrate data that come from different sources, formats, updating frequencies and etc. A concept map is developed to better explain the relationships between the freight data and design the ontology. Relevant data was identified to answer questions about the freight performance. The proposed freight performance measurement framework and the ontology-based data integration proposed in this manuscript may contribute to decision-making of traffic engineers, transportation planners, truck companies, and future researchers. This work is important in the context of Smart Cities where metrics are important to evaluate city performance.
Subject Area
Civil engineering|Computer science
Recommended Citation
Torres, Eduardo Javier, "Ontology-driven integration of data for freight performance measures" (2016). ETD Collection for University of Texas, El Paso. AAI10118225.
https://scholarworks.utep.edu/dissertations/AAI10118225