PURR Registry

Multinomial Logit models raw data for Chicago and Indianapolis

10.4231/4SXF-5N11

Konstantina Gkritza, 0000-0002-6598-4771, Lisa Lorena Losada-Rojas, 0000-0002-7221-4900

08/15/2022

These two files contain information regarding a travel survey when respondents share travel habits and opinions regarding travel easiness. It is also the first NHTS effort to include health-related data with travel data.

Autonomous Vehicles ccat Civil Engineering NHTS substitution patterns

Heavy Fleet and Facilities Optimization: Electronic Tool for Generating Optimal Snow Routes (Python Version)

10.4231/VCTK-A223

Ramanujam Ramaswamy, 0000-0001-7448-6574, Richard Ajagu, Runjia Du, Sam Labi, 0000-0001-9830-2071

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

Development of In-vehicle Information Dissemination Mechanisms to Reduce Cognitive Burden in the Information-rich Driving Environment

10.4231/QVDH-1124

Irina Benedyk, 0000-0003-3971-0619, Shubham Agrawal, 0000-0002-0990-9785, 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

In-vehicle Alerts for Conditionally Automated Vehicles

10.4231/JGHH-F716

Dustin J Souders, 0000-0003-1184-1289, Irina Benedyk, 0000-0003-3971-0619, Shubham Agrawal, 0000-0002-0990-9785, 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

Origin-Destination (O-D) Matrix from Indianapolis

10.4231/543K-FR90

Christos Gkartzonikas, 0000-0001-6579-9106, Konstantina Gkritza, 0000-0002-6598-4771, Lisa Lorena Losada-Rojas, 0000-0002-7221-4900, 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

Highly Transportation Disadvantaged Area Chicago

10.4231/HYGW-T670

Christos Gkartzonikas, 0000-0001-6579-9106, Konstantina Gkritza, 0000-0002-6598-4771, Lisa Lorena Losada-Rojas, 0000-0002-7221-4900, 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

Trajectory Dataset for translation of driver-pedestrian behavioral models at semi- controlled crosswalks into a quantitative framework.

10.4231/KMQX-R785

Jon D. Fricker, Yunchang Zhang, 0000-0001-7803-003X

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

Calibration Data Set for Damage Mechanics Challenge on Brittle-Ductile Material

10.4231/QF39-Q924

Antonio Bobet, 0009-0000-7926-302X, Hongkyu Yoon, Joseph Morris, 0000-0002-5085-2565, Laura J Pyrak-Nolte, 0000-0001-6826-5214, Liyang Jiang

01/19/2022

Here, we provide a benchmark laboratory data set from 3 point bending experiments for a damage mechanics challenge to compare computational approaches on damage evolution in brittle-ductile material.

3D printed material Benchmark Data Sets Civil Engineering Fracture Geometry Fractures Geomechanics Rock Mechanics