Date of Award
Master of Science
Goods are moved across the US by trucks on a daily basis. These trucks affect traffic conditions on the roadway network and contribute significantly in congestion and air pollution. Thus, it is imperative to estimate truck trip data and identify segments of highly congested corridors as to propose future improvements. The past few years private and public transportation agencies utilize Global Positioning System (GPS) devices installed in trucks to gather information about their travel patterns. The main objective of this study is to develop a methodology for processing raw GPS data and to develop freight performance measures (FPMs). The algorithms proposed are used to estimate bi-directional link speeds, to analyze truck trips and develop Origin-Destination (OD) matrices between Traffic Analysis Zones (TAZs). A case study for the state of Tennessee (TN) is presented in the last part on how the output of these algorithms can be used to calibrate the β factors between zones in Trip Distribution's Gravity Model.
dissertation or thesis originally submitted to the local University of Memphis Electronic Theses & dissertation (ETD) Repository.
Flaskou, Maria, "Developing Freight Performance Measures To Address Map-21 Objectives Using Truck GPS Data" (2016). Electronic Theses and Dissertations. 1331.