Articles with public access mandates - Shan BaoLearn more
Not available anywhere: 5
Mobile phone use while cycling: a study based on the theory of planned behavior
K Jiang, Z Yang, Z Feng, Z Yu, S Bao, Z Huang
Transportation research part F: traffic psychology and behaviour 64, 388-400, 2019
Mandates: National Natural Science Foundation of China
Drivers overtaking bicyclists—An examination using naturalistic driving data
F Feng, S Bao, RC Hampshire, M Delp
Accident Analysis & Prevention 115, 98-109, 2018
Mandates: US Department of Transportation
Quantifying visual road environment to establish a speeding prediction model: an examination using naturalistic driving data
B Yu, Y Chen, S Bao
Accident Analysis & Prevention 129, 289-298, 2019
Mandates: National Natural Science Foundation of China
Quantifying drivers' visual perception to analyze accident-prone locations on two-lane mountain highways
B Yu, Y Chen, S Bao, D Xu
Accident Analysis & Prevention 119, 122-130, 2018
Mandates: National Natural Science Foundation of China
An interpretable prediction model of illegal running into the opposite lane on curve sections of two-lane rural roads from drivers’ visual perceptions
L He, B Yu, Y Chen, S Bao, K Gao, Y Kong
Accident Analysis & Prevention 186, 107066, 2023
Mandates: National Natural Science Foundation of China
Available somewhere: 19
Accelerated evaluation of automated vehicles safety in lane-change scenarios based on importance sampling techniques
D Zhao, H Lam, H Peng, S Bao, DJ LeBlanc, K Nobukawa, CS Pan
IEEE transactions on intelligent transportation systems 18 (3), 595-607, 2016
Mandates: US National Institutes of Health
Testing scenario library generation for connected and automated vehicles, part II: Case studies
S Feng, Y Feng, H Sun, S Bao, Y Zhang, HX Liu
IEEE Transactions on Intelligent Transportation Systems 22 (9), 5635-5647, 2020
Mandates: US Department of Transportation
An optimal model-based trajectory following architecture synthesising the lateral adaptive preview strategy and longitudinal velocity planning for highly automated vehicle
H Cao, X Song, S Zhao, S Bao, Z Huang
Vehicle system dynamics 55 (8), 1143-1188, 2017
Mandates: National Natural Science Foundation of China
Examination and prediction of drivers’ reaction when provided with V2I communication-based intersection maneuver strategies
B Yu, S Bao, F Feng, J Sayer
Transportation research part C: emerging technologies 106, 17-28, 2019
Mandates: US Department of Energy
An optimal hierarchical framework of the trajectory following by convex optimisation for highly automated driving vehicles
H Cao, S Zhao, X Song, S Bao, M Li, Z Huang, C Hu
Vehicle System Dynamics, 2019
Mandates: National Natural Science Foundation of China
Beyond safety drivers: Applying air traffic control principles to support the deployment of driverless vehicles
RC Hampshire, S Bao, WS Lasecki, A Daw, J Pender
PLoS one 15 (5), e0232837, 2020
Mandates: US Department of Transportation
Using 3D Mobile Mapping to Evaluate Intersection Design Through Drivers’ Visual Perception
B Yu, S Bao, Y Chen, Y Chen
IEEE Access 7 (1), 19222-19231, 2019
Mandates: National Natural Science Foundation of China
Accelerated evaluation of automated vehicles based on importance sampling techniques
D Zhao, H Lam, H Peng, S Bao, DJ LeBlanc, K Nobukawa, CS Pan
Rev. IEEE Trans. Intell. Transp. Syst, 2016
Mandates: US National Institutes of Health
Investigating the Impacting Factors on the Public’s Attitudes towards Autonomous Vehicles Using Sentiment Analysis from Social Media Data
S Wang, M Li, B Yu, S Bao, Y Chen
Sustainability 14 (19), 12186, 2022
Mandates: National Natural Science Foundation of China
Using naturalistic driving performance data to develop an empirically defined model of distracted driving
CR Bingham, S Bao, C Flannagan, AK Pradhan
Nextrans, 2016
Mandates: US Department of Transportation
Validating the representativeness assumption of the quasi-induced exposure method using a national representative field observation survey
S Shen, S Bao, M Zhu
Traffic injury prevention 22 (2), 133-138, 2021
Mandates: US National Institutes of Health
Connected and Automated Vehicle (CAV) Testing Scenario Design and Implementation Using Naturalistic Driving Data and Augmented Reality
Y Feng, S Bao, H Liu
University of Michigan Transportation Research Institute, 2023
Mandates: US Department of Transportation
Simulator evaluation of an intersection maneuver assist system with connected and automated vehicle technologies
AK Pradhan, G Pai, H Jeong, S Bao
Ergonomics 66 (7), 999-1014, 2023
Mandates: US Department of Transportation
Human factors research on seat belt assurance systems
S Bao, DS Funkhouser, ML Buonarosa, M Gilbert, DJ LeBlanc, NJ Ward
United States. Department of Transportation. National Highway Traffic Safety …, 2020
Mandates: US Department of Transportation
Autonomy in Transportation Education
N Masoud, A Tafreshian, J Lim, H Liu, A Carrel, S Bao, D Work, G Orosz
Mandates: US Department of Transportation
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