Subject
Creator
- Konstantina Gkritza, 0000-0002-6598-4771 5
- Lisa Lorena Losada-Rojas, 0000-0002-7221-4900 4
- Aravind Ramakrishnan 3
- Christos Gkartzonikas, 0000-0001-6579-9106 3
- Srinivas Peeta 3
- Yanfeng Ouyang 3
- Apidej Sakulneya 2
- Ashraf Alrajhi 2
- David W. Eby 2
- Hadi Meidani 2
Type
- Dataset 22
Date
Total is 22 Results
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
Cooperative Control Mechanism for Platoon Formation of Connected and Autonomous Vehicles
10.4231/S6JE-ME83
Anye Zhou
,
Chaojie Wang
,
Jian Wang
,
Samuel Labi
,
Srinivas Peeta
,
Yu Wang
07/08/2022
The dataset of CCAT project "Cooperative Control Mechanism for Platoon Formation of Connected and Autonomous Vehicles"
Acceleration autonomous and connected vehicles ccat congestion
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
Promoting Inclusive Design and Deployment of Connected and Automated Vehicles for Older Adults Through Education of Engineering Students
10.4231/28GB-5023
David W. Eby
,
Feng Zhou
,
Jennifer S. Zakrajsek
,
Lisa J. Molnar
,
Nicole Zanier
,
Ping Yi
,
Renée M. St. Louis
09/27/2023
Inclusiveness of CAVs for older adults via literature review, older adult outreach and graduate student experiential learning. Data include: reference list, outreach field notes/voting results/coding tables, student survey data/data dictionaries.
autonomous and connected vehicles ccat engineering students experiential learning human-centered design inclusive design older adults
CCAT COVID-19 Impact on Shared Mobility Survey
10.4231/K57J-VD94
Konstantina Gkritza
,
Ricardo Chahine
07/07/2023
Survey data conducted in areas with different shared mobility and transit usage (Indianapolis (low), Minneapolis (medium), and Chicago(heavy)) to assess public perceptions for public transit and shared emerging technologies in the COVID-19 era.
Artificial Intelligence for Optimal Truck Platooning: Impact on Autonomous Freight Delivery
10.4231/JVXT-YQ42
09/05/2023
A data-driven surrogate model was proposed to predict the drag force and fuel-consumption rate of truck platoons.
autonomous and connected vehicles ccat Platooning Truck platooning
Analysis of Drone-based Last-mile Delivery Systems under Aerial Congestion: A Continuum Approximation Approach
10.4231/3R21-H908
09/07/2023
This study presents a systematic analysis and design framework for a spectrum of last-mile delivery systems that leverage unmanned aerial vehicles (UAVs).
Enhancing Construction Work-Zone Safety by Passive Pavement-to-Vehicle Communication
10.4231/F281-ZZ69
Apidej Sakulneya , Jeffery Roesler
09/01/2023
A laboratory-based experiment was developed to validate the theoretical configurations of smart work zones (SWZ) using passive pavement sensing.
Pavement Distresses Due to Truck Platoons: A Holistic Analysis
10.4231/WEYJ-EG42
Aravind Ramakrishnan , Ashraf Alrajhi , Hasan Ozer , Imad Al-Qadi
09/05/2023
The main goal of the study was to understand the effect of truck platoons qualitatively and quantitatively on pavement distresses.
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Results 11 - 20 of 22