Shan Bao
Engineering · University of Michigan
Publications
150
Citations
3,083
Est. group size
~3
Recurring co-author estimate
Active years
28
Publishing since 1999
Typically publishes in teams of ~5 · 11% small-team papers (≤3 authors) · across 30 venues
- The state-dependent causal effect of a V2X-based beyond-line-of-sight warning system on young driver response: a causal machine learning approach
Accident Analysis & Prevention · 2026
- Artificial Intelligence for Road User Behavior: A Scoping Review of Current Paradigms and Future Frontiers
SSRN Electronic Journal · 2026
- Using a brain-like cognitive computational model to analyze the difference between desired speed and actual speed on rural highways for young drivers
Transportation Research Part F Traffic Psychology and Behaviour · 2025
- Evaluating Multimodal Interfaces for Visually Impaired Users in Autonomous Ridesharing: A Usability Study
Proceedings of the Human Factors and Ergonomics Society Annual Meeting · 2025
- 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 · 2024
- A multi‐perspective fusion model for operating speed prediction on highways using knowledge‐enhanced graph neural networks
Computer-Aided Civil and Infrastructure Engineering · 2024
- An intelligent optimization method for the facility environment on rural roads
Computer-Aided Civil and Infrastructure Engineering · 2024
- Does road environment aesthetics influence risky driving behavior of autonomous vehicles? An evaluation on road readiness using explainable machine learning and random parameters multinomial logit with heterogeneity
Accident Analysis & Prevention · 2024
- Self-explaining analysis of facility environments on 2-lane rural roads with an improved lightweight CNN considering drivers’ visual perception
International Journal of Transportation Science and Technology · 2024
- Modeling Pedestrian Injury Severity: A Case Study of Using Extreme Gradient Boosting Vs Random Forest in Feature Selection
Transportation Research Record Journal of the Transportation Research Board · 2023
- 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 · 2023
- Using meta-learning to establish a highly transferable driving speed prediction model from the visual road environment
Engineering Applications of Artificial Intelligence · 2023
- Identifying Factors Related to Crash Injury Levels Involving Bicyclists at Different Locations Through Crash Data Analysis
Transportation Research Record Journal of the Transportation Research Board · 2023
- Design a sustainable micro-mobility future: trends and challenges in the US and EU
Journal of Engineering Design · 2022
- Investigating the Impacting Factors on the Public’s Attitudes towards Autonomous Vehicles Using Sentiment Analysis from Social Media Data
Sustainability · 2022
- Accident Analysis & Prevention×10
- arXiv (Cornell University)×8
- Transportation Research Record Journal of the Transportation Research Board×7
- Proceedings of the Human Factors and Ergonomics Society Annual Meeting×7
- Deep Blue (University of Michigan)×7
- Huizhong Guo
Engineering · University of Michigan
- Andrew Leslie
Engineering · University of Michigan
- David J. LeBlanc
Engineering · University of Michigan
- James R. Sayer
Engineering · University of Michigan
- Motao Zhu
Engineering · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 25, 2026.
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