PURR Registry

Modeling Airlines Decisions On Route Selection Using Discrete Choice Models - Data and Supplementary Materials

10.4231/R74747TG

Daniel A. Delaurentis , Jitesh H. Panchal , Kushal Moolchandani , Zhenghui Sha

10/29/2015

This publication contains the data and supplementary results used for the analysis and estimation of airlines' decision on route selection.

Aeronautics and Astronautics Engineering Airline Industry Aviation Technology Discrete Choice Modeling Mechanical Engineering

Urban Air Mobility Vehicle Dataset

10.4231/2XTS-M551

Apoorv Maheshwari , Brandon E Sells , Daniel A. Delaurentis , Ethan Charles Wright , Nicholas I. Gunady , Ryan James Howard , Sai V Mudumba , William A Crossley

06/18/2021

A wide array of electric vertical takeoff and landing (eVTOL) vehicles are in various stages of development with the goal of serving Urban Air Mobility (UAM) missions. This dataset describes emerging eVTOL vehicles' characteristics.

advanced air mobility Aeronautics and Astronautics Engineering aerospace engineering aircraft design aviation Economics engineering mobility technology transportation urban air mobility vertical takeoff and landing

Simulation Inputs and Results of the Potential Impacts of Emissions Trading Scheme and Biofuel Options to Carbon Emissions of U.S. Airlines

10.4231/4BGZ-Z162

Daniel Delaurentis , Datu Buyung Agusdinata , Hsun Chao

07/08/2019

Simulation inputs and results for assessing the environmental impacts of EUETS-type (European Union Emissions Trading Scheme) domestic emission scheme on US commercial aviation with biofuel options.

Aeronautics and Astronautics Engineering Airline Fleet Allocation Alternative Aviation Jet Fuels Aviation Emissions Emission Trading Scheme

PIV/BOS synthetic image generation in variable density environments for error analysis and experiment design

10.4231/P45Z-8361

Lalit Rajendran

08/26/2020

Ray tracin based image generation methodology to render realistic images of particle image velocimetry (PIV) and background oriented schlieren (BOS) experiments in the presence of density/refractive index gradients.

Aeronautics and Astronautics Engineering background oriented schlieren cuda particle image velocimetry Python ray tracing

Dot tracking methodology for background-oriented schlieren (BOS)

10.4231/X101-WK63

Lalit Rajendran , Pavlos Vlachos , Sally P M Bane

05/18/2021

A dot tracking method to process BOS images that improves the accuracy, precision, and spatial resolution of the measurements

Aeronautics and Astronautics Engineering background oriented schlieren image processing Matlab particle tracking velocimetry

Uncertainty quantification in density estimation from background oriented schlieren (BOS) measurements

10.4231/D2FC-N191

Jiacheng Zhang , Lalit Rajendran , Pavlos Vlachos , Sally P M Bane , Sayantan Bhattacharya

05/18/2021

We present an uncertainty quantification methodology for density estimation from background-oriented Schlieren (BOS) measurements, in order to provide local, instantaneous, a posteriori uncertainty bounds on each density measurement in the field...

Aeronautics and Astronautics Engineering background oriented schlieren Numerical Analysis Python uncertainty quantification

Preventing slips, overruns, and cancellations: Application of accident investigations and theory to the understanding and prevention of engineering project failures

10.4231/R7XK8CQW

Diane C. Aloisio , Karen Marais

11/15/2017

Supporting data for accident and project failure analysis.

accident Aeronautics and Astronautics Engineering causal analysis project failure systems engineering failures

Data For Airlines Decision Model Under Competition

10.4231/R7C53J4B

Daniel Delaurentis , Jitesh Panchal , Joseph D Thekinen , Kushal Moolchandani

11/16/2018

This data was used to model airlines' decision-making on route selection in presence of competition from other airlines. Data from two major US airlines was used in modeling.

Aeronautics and Astronautics Engineering Airline Industry Bureau of Transportation Statistics Discrete Choice Modeling

Urban Air Mobility ROPE Table: A Decomposition Tool to Identify and Organize Potential Operational Limits

10.4231/81N6-EV29

Apoorv Maheshwari , Brandon Sells , Daniel DeLaurentis , Hsun Chao , Sai Mudumba , William Crossley

06/04/2020

Operational limits in Urban Air Mobility are explored via an assessment of various factors using the Resources, Operations, Policies, Economics (ROPE) table methodology

advanced air mobility Aeronautics and Astronautics Engineering aerospace engineering air transportation system-of-systems urban air mobility

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