PURR Registry

Multifront Approach for Improving Navigation of Autonomous and Connected Trucks

10.4231/2EEQ-3R20

Amir Kazemi, Aravind Ramakrishnan, Ashraf Alrajhi, Egemen Okte, 0000-0003-1035-4462, 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

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

10.4231/3X2D-TJ90

Paul Richardson, Paul Watta, Sridhar Lakshmanan, Timothy Kleinow, 0000-0002-7360-3633

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, 0000-0002-7612-4208

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

Highly Transportation Disadvantaged Areas Indianapolis

10.4231/12HS-8G97

Christos Gkartzonikas, 0000-0001-6579-9106, Konstantina Gkritza, 0000-0002-6598-4771, Lisa Lorena Losada-Rojas, 0000-0002-7221-4900, 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, 0000-0001-7803-003X

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, 0000-0002-6598-4771, Lisa Lorena Losada-Rojas, 0000-0002-7221-4900

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, 0000-0001-9830-2071, 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, 0000-0003-3971-0619, Shubham Agrawal, 0000-0002-0990-9785, 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, 0000-0003-1184-1289, Irina Benedyk, 0000-0003-3971-0619, Shubham Agrawal, 0000-0002-0990-9785, 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, 0000-0001-6579-9106, Konstantina Gkritza, 0000-0002-6598-4771, Lisa Lorena Losada-Rojas, 0000-0002-7221-4900, 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

Datasets

Subject

Creator

Type

Date

Total is 18 Results