Datasets

subject: ccat type: dataset

Total is 22 Results
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

Origin-Destination (O-D) Matrix from Indianapolis

10.4231/543K-FR90

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

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

Connected and Automated Vehicle Based Intersection Maneuver Assist Systems (CAVIMAS) - Reduced Eye-tracking Data + Survey Data

10.4231/6AKB-M964

Anuj K. Pradhan ORCID logo

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.

ccat connected vehicles driving simulation Eye tracking

Multifront Approach for Improving Navigation of Autonomous and Connected Trucks

10.4231/2EEQ-3R20

Amir Kazemi , Aravind Ramakrishnan , Ashraf Alrajhi , Egemen Okte ORCID logo , 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

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 ORCID logo , Lisa J. Molnar , Nicole Zanier , Ping Yi ORCID logo , 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

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

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