Carol Ann Cook Flannagan

Carol Ann Cook Flannagan

University of Michigan

H-index: 31

North America-United States

About Carol Ann Cook Flannagan

Carol Ann Cook Flannagan, With an exceptional h-index of 31 and a recent h-index of 19 (since 2020), a distinguished researcher at University of Michigan,

His recent articles reflect a diverse array of research interests and contributions to the field:

On the road to retirement: Predicting nighttime driving difficulty and cessation using self-reported health factors

Approaches for Developing and Evaluating Emerging Partial Driving Automation System HMIs

Modeling Lead-Vehicle Kinematics for Rear-End Crash Scenario Generation

Evaluation of automated driving system safety metrics with logged vehicle trajectory data

The SAE International Journal of Transportation Safety would like to thank and acknowledge the reviewers who have done peer reviews on articles over the past year.

Connected and Automated Vehicle (CAV) Data Infrastructure and Access Phase 1 and 2 [supporting dataset]

Establishing a Crash Rate Benchmark Using Large-Scale Naturalistic Human Ridehail Data

WEARABLES IN DEMENTIA RESEARCH: A SYSTEMATIC REVIEW OF BARRIERS AND FACILITATORS TO ADHERENCE

Carol Ann Cook Flannagan Information

University

Position

___

Citations(all)

4436

Citations(since 2020)

1797

Cited By

3260

hIndex(all)

31

hIndex(since 2020)

19

i10Index(all)

72

i10Index(since 2020)

45

Email

University Profile Page

University of Michigan

Google Scholar

View Google Scholar Profile

Top articles of Carol Ann Cook Flannagan

Title

Journal

Author(s)

Publication Date

On the road to retirement: Predicting nighttime driving difficulty and cessation using self-reported health factors

Journal of Transport & Health

Colleen M Peterson

Andrew Leslie

Carol AC Flannagan

Toben F Nelson

2024/1/1

Approaches for Developing and Evaluating Emerging Partial Driving Automation System HMIs

Yi G Glaser

Raymond Kiefer

Daniel Glaser

Steven Landry

Susan Owen

...

2024/4/9

Modeling Lead-Vehicle Kinematics for Rear-End Crash Scenario Generation

IEEE Transactions on Intelligent Transportation Systems

Jian Wu

Carol Flannagan

Ulrich Sander

Jonas Bärgman

2024/3/18

Evaluation of automated driving system safety metrics with logged vehicle trajectory data

arXiv preprint arXiv:2401.01501

Xintao Yan

Shuo Feng

David J LeBlanc

Carol Flannagan

Henry X Liu

2024/1/3

The SAE International Journal of Transportation Safety would like to thank and acknowledge the reviewers who have done peer reviews on articles over the past year.

Niraj Altekar

Milind Ambardekar

Nejib Ammar

David Antanaitis

Islam Babaev

...

2023

Connected and Automated Vehicle (CAV) Data Infrastructure and Access Phase 1 and 2 [supporting dataset]

Helen K Spradlin

Carol AC Flannagan

2023/3/7

Establishing a Crash Rate Benchmark Using Large-Scale Naturalistic Human Ridehail Data

Carol Flannagan

2023

WEARABLES IN DEMENTIA RESEARCH: A SYSTEMATIC REVIEW OF BARRIERS AND FACILITATORS TO ADHERENCE

Colleen Peterson

Carol Flannagan

2023/12

Safety Metrics Assessment Using Logged Vehicle Trajectory Data

Xintao Yan

Shuo Feng

David J LeBlanc

Carol Flannagan

Henry X Liu

...

2023

Data Quality Assessment of Pedestrian, Bicyclist, and Motorcycle Crashes in Michigan

Patrick Bowman

Carol Flannagan

Andrew Leslie

Helen Spradlin

2023/9/30

Field Study of the Level 2 Super Cruise Using Telematics Data

David LeBlanc

Andrew Leslie

Scott Bogard

Colleen Peterson

Carol Flannagan

...

2023

Driver Response to Take-Over Requests in Real Traffic

IEEE Transactions on Human-Machine Systems

Linda Pipkorn

Emma Tivesten

Carol Flannagan

Marco Dozza

2023/9/22

V2X Bridging Efficacy Analysis

Carol Flannagan

2023

Understanding the new trends in pedestrian injury distribution and mechanism through data linkage and modeling

Accident Analysis & Prevention

Jingwen Hu

Carol Flannagan

Sailesh Ganesan

Patrick Bowman

Wenbo Sun

...

2023/8/1

Robust and efficient bayesian inference for non-probability samples

arXiv preprint arXiv:2203.14355

Ali Rafei

Michael R Elliott

Carol AC Flannagan

2022/3/27

Active sampling: A machine-learning-assisted framework for finite population inference with optimal subsamples

arXiv preprint arXiv:2212.10024

Henrik Imberg

Xiaomi Yang

Carol Flannagan

Jonas Bärgman

2022/12/20

Levitate Project-Societal level impacts of connected and automated vehicles: Final technical report

Amna Chaudhry

Pete Thomas

Andrew Morris

Bin Hu

Wolfgang Ponweiser

...

2022

Big Data in Road Transport and Mobility Research

Carol A Flannagan

2022/9/8

Robust Bayesian inference for big data: Combining sensor-based records with traditional survey data

The Annals of Applied Statistics

Ali Rafei

Carol AC Flannagan

Brady T West

Michael R Elliott

2022/6

Robust Model-based Inference for Non-Probability Samples

arXiv preprint arXiv:2204.03215

Ali Rafei

Michael R Elliott

Carol AC Flannagan

2022/4/7

See List of Professors in Carol Ann Cook Flannagan University(University of Michigan)