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
10.4231/3X2D-TJ90
Paul Richardson , Paul Watta , Sridhar Lakshmanan , Timothy Kleinow
03/17/2021
An investigation into the ability of Cellular Vehicle-to-Everything (CV2X) and Dedicated Short-Range Communication (DSRC) systems to accurately send and receive data between vehicles which have lost their line-of-sight (LOS) due to occluding...
Antennas Autonomy ccat Collision Avoidance Computer Simulation connected vehicles CV2X DSRC Error Prevention GPS Logistic Regression model intercomparison Modeling Non-Line-Of-Sight Platooning Radio Communications Radio-Frequency Statistical analysis testing
10.4231/6AKB-M964
04/02/2021
Driving simulator data from study designed to evaluate a conceptual Connected and Automated Vehicle based Intersection Maneuver Assist Systems (CAVIMAS) aimed at assisting drivers with intersection maneuvers.
10.4231/2EEQ-3R20
Amir Kazemi , Aravind Ramakrishnan , Ashraf Alrajhi , Egemen Okte , Hadi Meidani , Hasan Ozer , Imad L. Al-Qadi , Jeffery R. Roesler , Rui Feng She , Sachindra Dahal , Yanfeng Ouyang
01/04/2022
This project have four different blocks. Block I: Real Time Optimization, Block II: Road Network Optimization of ACT Platoons, Block III: Resting Period and Pavement Damage, Block IV: Passive Sensing Paving Material
asphalt pavement autonomous and connected vehicles ccat Network Optimization Passive Sensing Platooning Truck platooning
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
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
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
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
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
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