PURR Registry

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

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.

ccat COVID-19 shared mobility Survey transportation

Artificial Intelligence for Optimal Truck Platooning: Impact on Autonomous Freight Delivery

10.4231/JVXT-YQ42

Hadi Meidani , Tong Liu

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

Rui She , Yanfeng Ouyang

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).

ccat Network Optimization Platooning

Reliable Vehicle to Vehicle Communication Networks: Applications in Fuel-Efficient Platooning

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

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

10.4231/6AKB-M964

Anuj K. Pradhan

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

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

Datasets

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Total is 22 Results