Datasets

Subject
Creator
Type
Date

subject: ccat

Total is 22 Results
Prediction of Pavement Damage under Truck Platoons Utilizing a Combined Finite Element and Artificial Intelligence Model

10.4231/Z5RS-KZ82

Angeli Jayme , Aravind Ramakrishnan , Fangyu Liu , Imad Al-Qadi

12/02/2024

This study utilized a conventional Burger’s model, incorporating a nonlinear power-law dashpot. A new load-pass approach enabled a reduction in computational domain and cost. A graph neural network was established to extend the framework.

asphalt pavement ccat Civil Engineering Truck platooning

Planning and Dynamic Management of Autonomous Modular Mobility Services

10.4231/TDT6-YV13

Shiyu Shen , Yanfeng Ouyang , Yuhui Zhai

12/02/2024

This project aimed to address the challenges faced by on-demand mobility operators in understanding and addressing spatiotemporal random bipartite matching problems (ST-RBMPs).

agent-based simulation Autonomous Vehicles ccat Civil Engineering mobility on-demand mobility services spatiotemporal random bipartite matching problems

Smart Construction Work-Zone Safety with V2I Passive Material Sensing

10.4231/K7FB-2C50

Apidej Sakulneya , Jeffery Roesler

12/02/2024

This study explored new vehicle to infrastructure (V2I) technology in construction work zones (CWZ), where speeding, unsafe driving behaviors, and drivers' failure to obey traffic signs contribute significantly to elevated accident rates and fatalities.

ccat Civil Engineering Construction construction work zones safety V2I

Practice-Ready Guidelines for Training Older Adults to Use Connected and Automated Vehicles: Testing of an Enhanced Training Program at the Mcity Test Facility

10.4231/57AW-YN47

David W. Eby , Jennifer S. Zakrajsek ORCID logo , Lisa J. Molnar , Nicole Zanier , Ping Yi ORCID logo , Renée M. Louis

12/09/2024

This project developed, pilot-tested, and evaluated an in-person training program about ADAS and AV technologies targeted for older adults, that included demonstrations on a closed-course track in a real automobile.

Advanced Driver Assistance System Aging Automated Driving ccat Self-Driving Training

Highly Transportation Disadvantaged Areas Indianapolis

10.4231/12HS-8G97

Christos Gkartzonikas ORCID logo , Konstantina Gkritza ORCID logo , Lisa Lorena Losada-Rojas ORCID logo , 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 ORCID logo

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 ORCID logo , Lisa Lorena Losada-Rojas ORCID logo

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 ORCID logo , 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 ORCID logo , Shubham Agrawal ORCID logo , 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 ORCID logo , Irina Benedyk ORCID logo , Shubham Agrawal ORCID logo , 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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