subject: Civil Engineering type: dataset
10.4231/R7NS0RSW
Alexander M. Hainen
,
Andrew Sydelko
,
Darcy M. Bullock
,
David Burford
,
Michael Witt
05/12/2015
Two iconic buildings on the Purdue University campus, the Engineering Administration Building and the retired Heating and Power Plant-North, were targeted for demolition in 2012 to make way for the construction of the Active Learning Center.
Active Learning Center Building Construction Management building demolition Civil Engineering Construction Engineering and Management ENAD Demolition ENADALC Engineering Administration Building Heat and Power Plant-North Purdue University
10.4231/R7DB7ZRX
Alexander M. Hainen
,
Andrew Sydelko
,
Darcy M. Bullock
,
David Burford
,
Michael Witt
05/12/2015
Two iconic buildings on the Purdue University campus, the Engineering Administration Building and the retired Heating and Power Plant-North, were targeted for demolition in 2012 to make way for the construction of the Active Learning Center.
Active Learning Center Building Construction Management building demolition Civil Engineering Construction Engineering and Management ENAD Demolition ENADALC Engineering Administration Building Heat and Power Plant-North Purdue University
10.4231/R7J1013Q
Alexander M. Hainen
,
Andrew Sydelko
,
Darcy M. Bullock
,
David Burford
,
Michael Witt
05/12/2015
Two iconic buildings on the Purdue University campus, the Engineering Administration Building and the retired Heating and Power Plant-North, were targeted for demolition in 2012 to make way for the construction of the Active Learning Center.
Active Learning Center Building Construction Management building demolition Civil Engineering Construction Engineering and Management ENAD Demolition ENADALC Engineering Administration Building Heat and Power Plant-North Purdue University
10.4231/VCTK-A223
Ramanujam Ramaswamy
,
Richard Ajagu
,
Runjia Du
,
Sam Labi
10/03/2022
The Snow Route Generation tool helps INDOT’s winter operations personnel to generate snow removal routes in an optimal manner and minimize the deadhead miles of the trucks deployed in snow removal. The manual explains how to use the SRG tool.
Civil Engineering JTRP optimal snow routes python program snow removal Winter Operations
10.4231/QVDH-1124
Irina Benedyk
,
Shubham Agrawal
,
Srinivas Peeta
07/18/2022
Processed driving simulator data collected at NEXTRANS Center, Purdue University. Data features synchronized EEG band powers around an instance of auditory travel information and contains demographic, information scenario, and trip details.
ccat Civil Engineering driver cognition driving simulator EEG travel information
10.4231/JGHH-F716
Dustin J Souders
,
Irina Benedyk
,
Shubham Agrawal
,
Srinivas Peeta
,
Yuntao Guo
08/10/2022
Driving simulator study data collected at Purdue University from 2018-2019. Participants came in to the lab and completed the 2.5 hour long study that investigated the effects of different introductory information on take-over performance.
ccat Civil Engineering Conditionally automated driving graded warnings introductory materials SAE L3 take-over vehicle automation
10.4231/543K-FR90
Christos Gkartzonikas
,
Konstantina Gkritza
,
Lisa Lorena Losada-Rojas
,
Zimo Zhang
08/16/2022
The Origin-Destination matrix for Indy contains the flows of the 42 Transportation Analysis Zones surrounding the Indianapolis area. It also presents the total amount of travel within each region.
ccat Civil Engineering environmental impacts Shared autonomous vehicles
10.4231/HYGW-T670
Christos Gkartzonikas
,
Konstantina Gkritza
,
Lisa Lorena Losada-Rojas
,
Raul F. Elizondo Candanedo
08/10/2022
This file contains areas designated as highly transportation disadvantaged in Chicago. This areas were outlined using three different measures and publicly available data. The methodology is replicable and can be used in different areas.
Autonomous Vehicles ccat Civil Engineering disadvantaged population GIS
10.4231/KMQX-R785
Jon D. Fricker
,
Yunchang Zhang
10/03/2022
On-site cameras provided a bird-eye view of an unsignalized crosswalk. Computer Vision algorithms generate a large-scale spatial-temporal trajectory dataset from more than three hours of videos.
ccat Civil Engineering Pedestrian Behavior Pedestrian-Vehicle Interactions
10.4231/Z5RS-KZ82
Angeli Jayme , Aravind Ramakrishnan , Fangyu Liu , Imad Al-Qadi
12/02/2024
This study utilized a conventional Burger’s model, incorporating a nonlinear power-law dashpot. A new load-pass approach enabled a reduction in computational domain and cost. A graph neural network was established to extend the framework.
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