Creator
- Konstantina Gkritza, 0000-0002-6598-4771 4
- Lisa Lorena Losada-Rojas, 0000-0002-7221-4900 4
- Christos Gkartzonikas, 0000-0001-6579-9106 3
- Irina Benedyk, 0000-0003-3971-0619 2
- Raul F. Elizondo Candanedo 2
- Shubham Agrawal, 0000-0002-0990-9785 2
- Srinivas Peeta 2
- Yunchang Zhang, 0000-0001-7803-003X 2
- Dustin J Souders, 0000-0003-1184-1289 1
- Jon D. Fricker 1
Type
- Dataset 8
Date
- 2022 8
subject: Civil Engineering subject: ccat date: 2022
Total is 8 Results
Highly Transportation Disadvantaged Areas Indianapolis
10.4231/12HS-8G97
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 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
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
,
Lisa Lorena Losada-Rojas
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
Development of In-vehicle Information Dissemination Mechanisms to Reduce Cognitive Burden in the Information-rich Driving Environment
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
In-vehicle Alerts for Conditionally Automated Vehicles
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
Origin-Destination (O-D) Matrix from Indianapolis
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
Highly Transportation Disadvantaged Area Chicago
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
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
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
Display #
Results 1 - 8 of 8