Shan Bao

Shan Bao

University of Michigan

H-index: 29

North America-United States

About Shan Bao

Shan Bao, With an exceptional h-index of 29 and a recent h-index of 23 (since 2020), a distinguished researcher at University of Michigan, specializes in the field of Human Factors, Connected and Automated Vehicle, ADAS, Distraction, Drive Behavior Modeling.

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

System, method, and computer-readable medium for an autonomous vehicle to pass a bicycle

How Vehicle Connectivity based Eco-Routing Choices Will Impact on Driver Decision Making

An ADAS with better driver satisfaction under rear-end near-crash scenarios: A spatio-temporal graph transformer-based prediction framework of evasive behavior and collision risk

An intelligent optimization method for the facility environment on rural roads

Modeling pedestrian injury severity: a case study of using extreme gradient boosting vs random forest in feature selection

Using meta-learning to establish a highly transferable driving speed prediction model from the visual road environment

Driving style classification and the effectiveness of advanced driving assistance systems: differences between teen and adult drivers

Systems and methods for distracted driving detection

Shan Bao Information

University

Position

Associate Professor & UMTRI

Citations(all)

2675

Citations(since 2020)

1996

Cited By

1357

hIndex(all)

29

hIndex(since 2020)

23

i10Index(all)

52

i10Index(since 2020)

45

Email

University Profile Page

University of Michigan

Google Scholar

View Google Scholar Profile

Shan Bao Skills & Research Interests

Human Factors

Connected and Automated Vehicle

ADAS

Distraction

Drive Behavior Modeling

Top articles of Shan Bao

Title

Journal

Author(s)

Publication Date

System, method, and computer-readable medium for an autonomous vehicle to pass a bicycle

2024/3/26

How Vehicle Connectivity based Eco-Routing Choices Will Impact on Driver Decision Making

Huizhong Guo

Bo Yu

Shan Bao

Henry Liu

Jim Sayer

2024/2/16

An ADAS with better driver satisfaction under rear-end near-crash scenarios: A spatio-temporal graph transformer-based prediction framework of evasive behavior and collision risk

Transportation research part C: emerging technologies

Jianqiang Gao

Bo Yu

Yuren Chen

Shan Bao

Kun Gao

...

2024/2/1

An intelligent optimization method for the facility environment on rural roads

Computer‐Aided Civil and Infrastructure Engineering

Weixi Ren

Bo Yu

Yuren Chen

Kun Gao

Shan Bao

...

2024

Modeling pedestrian injury severity: a case study of using extreme gradient boosting vs random forest in feature selection

Transportation research record

Zhenxi Wu

Aditi Misra

Shan Bao

2024/1

Using meta-learning to establish a highly transferable driving speed prediction model from the visual road environment

Engineering Applications of Artificial Intelligence

Bo Yu

Xiangyu Feng

You Kong

Yuren Chen

Zeyang Cheng

...

2024/4/1

Driving style classification and the effectiveness of advanced driving assistance systems: differences between teen and adult drivers

Transportation research record

Dania Ammar

Meitang Li

Bo Yu

Huizhong Guo

Brian Lin

...

2023/12

Systems and methods for distracted driving detection

2023/1/31

An interpretable prediction model of illegal running into the opposite lane on curve sections of two-lane rural roads from drivers’ visual perceptions

Accident Analysis & Prevention

Li He

Bo Yu

Yuren Chen

Shan Bao

Kun Gao

...

2023/6/1

L3 vehicles are becoming a reality: important human factors consideration for the viability of conditional automation

Proceedings of the Human Factors and Ergonomics Society Annual Meeting

Denny Yu

Mansoor Nasir

Brandon J Pitts

John Shutko

Shan Bao

...

2023/9

Autonomy in Transportation Education

Neda Masoud

Amirmahdi Tafreshian

Jisoon Lim

Henry Liu

Andre Carrel

...

2023

Identifying factors related to crash injury levels involving bicyclists at different locations through crash data analysis

Transportation research record

Dania Ammar

Aditi Misra

Fred Feng

Shan Bao

2023/6

A systematic review of challenging scenarios involving automated vehicles and vulnerable road users

Aditya Deshmukh

Zifei Wang

Huizhong Guo

Dania Ammar

Rini Sherony

...

2023/9

Identifying User Needs and Current Challenges of External Interface Design for AV-VRU Communications: Insights from an Expert Survey Data Analysis

Transportation Research Record

Dania Ammar

Yi Wu

Huizhong Guo

Aditi Misra

Bochen Jia

...

2023

A systematic review of safety-critical scenarios between automated vehicles and vulnerable road users

Aditya Deshmukh

Zifei Wang

Aaron Gunn

Huizhong Guo

Rini Sherony

...

2023/5/18

A probabilistic framework for estimating the risk of pedestrian-vehicle conflicts at intersections

IEEE Transactions on Intelligent Transportation Systems

Pei Li

Huizhong Guo

Shan Bao

Arpan Kusari

2023/7/28

A Data-Driven Framework of Crash Scenario Typology Development for Child Vulnerable Road Users in the US

Huizhong Guo

Zifei Wang

Rini Sherony

Shan Bao

2023/4/11

Simulator evaluation of an intersection maneuver assist system with connected and automated vehicle technologies

Ergonomics

Anuj K Pradhan

Ganesh Pai

Heejin Jeong

Shan Bao

2023/7/3

Connected and Automated Vehicle (CAV) Testing Scenario Design and Implementation Using Naturalistic Driving Data and Augmented Reality

Yiheng Feng

Shan Bao

Henry Liu

2023/3/15

Investigating the Impacting Factors on the Public’s Attitudes towards Autonomous Vehicles Using Sentiment Analysis from Social Media Data

Sustainability

Shengzhao Wang

Meitang Li

Bo Yu

Shan Bao

Yuren Chen

2022/9/26

See List of Professors in Shan Bao University(University of Michigan)

Co-Authors

H-index: 59
Henry Liu

Henry Liu

University of Michigan-Dearborn

H-index: 42
Linda Ng Boyle

Linda Ng Boyle

University of Washington

H-index: 29
Jingwen Hu

Jingwen Hu

University of Michigan

H-index: 27
James R Sayer

James R Sayer

University of Michigan

academic-engine