Datasets

subject: Civil Engineering type: dataset date: 2022

Total is 14 Results
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

Electric and Hybrid Vehicle Miles Travelled Dataset

10.4231/MTDC-3C27

Darcy M. Bullock, 0000-0002-7365-1918, Howell Li, 0000-0001-5230-1006, Jairaj Desai, Jijo K. Mathew, 0000-0003-0670-6234

01/31/2022

Total electric and hybrid vehicle miles travelled across 11 states and 1014 counties in the United States during the month of August 2021

charging Civil Engineering connected vehicle electric vehicle JTRP miles travelled

Historical shorelines and imagery for Indiana's Lake Michigan coast

10.4231/YX3X-C082

Benjamin Theron Nelson-Mercer, 0000-0002-0738-1390, Cary David Troy, 0000-0001-9115-6323, Hannah R Tomkins

05/11/2022

Historical aerial and satellite imagery is provided for the Indiana Lake Michigan coastline, from 1965-present. Additionally, shorelines traced from the imagery are available for most dates provided.

ArcGIS Civil Engineering Coastal Engineering Erosion Lake Michigan Shorelines Water Levels

Heavy Fleet and Facilities Optimization: Electronic Tool for Generating Optimal Snow Routes

10.4231/1XEK-H381

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

04/28/2022

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 optimal snow routes python program snow removal Winter Operations

Highly Transportation Disadvantaged Areas Indianapolis

10.4231/12HS-8G97

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 Indianapolis. These two areas were outlined using three different measures and publicly available data. The methodology is replicable and can be used in other cities.

Autonomous Vehicles ccat Civil Engineering disadvantaged population GIS

Pedestrian-Vehicle Interaction in a CAV Environment: Explanatory Metrics

10.4231/0YGE-HT33

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

07/05/2022

3 journal articles and 3 conference articles were produced from this project. The research from this advanced research project was disseminated to over 200 people from industry, government, and academia.

ccat Civil Engineering crosswalks Pedestrian Behavior Pedestrian-Vehicle Interactions

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

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