Shan Bao, PhD
Principal Investigator
Driver Distraction
Distracted driving is a major factor in transportation safety. It is a frequent occurrence in everyday driving and a primary cause of vehicle crashes. Our distracted-driving research has two main focuses:
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To assess the nature of driver distraction and its impact on driving safety;
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To develop algorithms for driver distracted states detection and prediction.
Impact and Detection
References:
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Fred Feng, Bao, S, Judy Jin, Wenbo Sun, Shigenobu Saigusa, Amin Tahmasbi-Sarvestani, and Jovin Dsa (2017). Estimation of lead vehicle kinematics using camera-based data for driver distraction detection. Fast-zero 2017, September, Japan.
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Yuan Wang, Bao, S, Wenjun Du, Zhirui Ye, James R. Sayer (2017). A spectral power analysis of driving behavior changes during the transition from non-distraction to distraction. Traffic Injury Prevention.
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Yuan Wang, Bao, S, Wenjun Du, Zhirui Ye, James R. Sayer (Accepted). Examining drivers’ eye glance patterns during distracted driving: Insights from scanning randomness and glance transition matrix. The Journal of Safety Research.
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Xiong, Huimin, Narayanaswamy, Prabha, Bao, S., Carol Flanngan, and Jim Sayer (2016). How Do Drivers Behave during Dilemma Zone Maneuvers? Journal of Accident Analysis and Prevention, Special Issue.
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Bao, S, Zizheng Guo, Carol Flannagan, John Sullivan, Sayer JR, Dave LeBlanc (2015), Distracted driving measures: A spectral power analysis. Journal of the Transportation Research Record, 5592.
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Xiong, Huimin, Bao, S., Kazuma Kato and James R. Sayer (2015), Examination of drivers’ cell phone use behavior at intersections by using naturalistic driving data, the Journal of Safety Research, Special Issue, 54:89-93.
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Xiong, Huimin, Bao, S, Sayer, JR (2014). Factors Affecting Drivers’ Cellphone Use Behavior: Implications from a naturalistic study. Journal of the Transportation Research Record, 4742, pp72-79.
Our analyses of both large-scale naturalistic driving and simulator study data has enabled us to explore the relationships between driver behavior and vehicle kinematics under various driving conditions. The benefit of using naturalistic driving data is that it has both detailed behavior information and vehicle kinematic data that are collected under realistic driving conditions while simulator based studies provide the flexibility of repeatable controlled experiments.