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Song Wang, Ph.D.
Song Wang, Ph.D.
Chongqing Jiaotong University
Verified email at cqjtu.edu.cn
Title
Cited by
Cited by
Year
Exploring the mechanism of crashes with automated vehicles using statistical modeling approaches
S Wang, Z Li
PloS one 14 (3), e0214550, 2019
882019
Exploring causes and effects of automated vehicle disengagement using statistical modeling and classification tree based on field test data
S Wang, Z Li
Accident Analysis & Prevention 129, 44-54, 2019
642019
Guidance-oriented advanced curve speed warning system in a connected vehicle environment
S Wang, Y Wang, Q Zheng, Z Li
Accident Analysis & Prevention 148, 105801, 2020
242020
CACC simulation platform designed for urban scenes
J Hu, S Sun, J Lai, S Wang, Z Chen, T Liu
IEEE Transactions on Intelligent Vehicles, 2023
152023
How do age and gender influence the acceptance of automated vehicles?–Revealing the hidden mediating effects from the built environment and personal factors
S Wang, Z Li, Y Wang, DA Wyatt
Transportation research part A: policy and practice 165, 376-394, 2022
122022
Roadside sensing information enabled horizontal curve crash avoidance system based on connected and autonomous vehicle technology
S Wang, Z Li
Transportation research record 2673 (5), 49-60, 2019
102019
Evidence of automated vehicle safety’s influence on people’s acceptance of the automated driving technology
S Wang, Z Li, Y Wang, W Zhao, T Liu
Accident Analysis & Prevention 195, 107381, 2024
32024
Transitioning to multi-dimensional estimation of visual distraction and its safety effects under automated driving: a spatiotemporal and directional estimation approach
S Wang, Z Li, C Zeng, J Hu
Transportation research part C: emerging technologies 153, 104212, 2023
32023
How effective is automated vehicle education?–A Kentucky case study revealing the dynamic nature of education effectiveness
S Wang, Z Li, Y Wang, DA Wyatt
Transport policy 147, 140-157, 2024
12024
Effectiveness of connected-vehicle-based curve speed warning systems with considerations of heads-up display language type’s effects on driver behavior
S Wang, Z Li, Y Wang, Q Zheng, Z Liu
Transportation research part F: traffic psychology and behaviour 99, 127-148, 2023
12023
Traffic Conflict Forecasting and Avoidance System Under Automated Driving System Disengagement: A Non-Intrusive Prototype Design
S Wang, Z Li, J Hu, J Xu, S Jiang
IEEE Transactions on Intelligent Transportation Systems, 2023
12023
Connected vehicles–based smart horizontal curve road-departure avoidance system via in-vehicle heads-up display
S Wang, Z Li, Y Wang, Z Yao, K Yang
Transportation Research Board 97th Annual MeetingTransportation Research Board, 2018
12018
Quantification of safety improvements and human-machine tradeoffs in the transition to automated driving
S Wang, Z Li, Y Wang, W Zhao, H Wei
Accident Analysis & Prevention 199, 107523, 2024
2024
Revealing inherent interrelationships of direct and indirect factors impacting Driver’s stop-or-go behaviors at Yellow-Light
S Wang, Z Li, H Wei, Y Cui, H Yang
Transportation Research Part F: Traffic Psychology and Behaviour 102, 294-315, 2024
2024
Understanding the traffic flow in different types of freeway tunnels based on car-following behaviors analysis
T Shang, J Lu, Y Luo, S Wang, Z He, A Wang
Tunnelling and Underground Space Technology 143, 105494, 2024
2024
Assessing Kentucky Drivers’ Acceptance and Behaviors of Automated Driving
R Li, DS Wang, J Wang
2021
Modeling driver distraction mechanism and its safety impact in automated vehicle environment.
S Wang
2021
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