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Qiangqiang Shangguan

Showing results (1-10 of 11) with videos related to

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Accident; Analysis and Prevention|March 22, 2020
Investigating rear-end collision avoidance behavior under varied foggy weather conditions: A study using advanced driving simulator and survival analysisQiangqiang Shangguan, Ting Fu, Shuo Liu
Accident; Analysis and Prevention|March 31, 2023
Wide-area vehicle trajectory data based on advanced tracking and trajectory splicing technologies: Potentials in transportation researchJunhua Wang, Ting Fu, Qiangqiang Shangguan
Accident; Analysis and Prevention|November 18, 2025
Short-Term driving speed prediction under consecutive Variable speed Limits: An interpretable deep learning approach using Wide-Area trajectory dataJunhua Wang, Yiwei Ren, Ting Fu, et al.
Accident; Analysis and Prevention|March 13, 2026
DRPVLM: A generative multimodal large language model for real-time driving risk predictionJunhua Wang, Wenhao Zhang, Ting Fu, et al.
Accident; Analysis and Prevention|November 25, 2021
A proactive lane-changing risk prediction framework considering driving intention recognition and different lane-changing patternsQiangqiang Shangguan, Ting Fu, Junhua Wang, et al.
Accident; Analysis and Prevention|April 26, 2021
An integrated methodology for real-time driving risk status prediction using naturalistic driving dataQiangqiang Shangguan, Ting Fu, Junhua Wang, et al.
Accident; Analysis and Prevention|December 18, 2025
Interaction patterns exploration and risk assessment within lane changing in terms of initial scenarios and evolution processJunhua Wang, Bo Yao, Qiangqiang Shangguan, et al.
Accident; Analysis and Prevention|February 3, 2026
Identification of high-risk expressway segments using connected vehicle data: an empirical analysisXueao Li, Junhua Wang, Ting Fu, et al.
Accident; Analysis and Prevention|March 21, 2025
The existence and impacts of sequential traffic conflicts: Investigation of traffic conflict in sequences encountered by left-turning vehicles at signalized intersectionsShuke Xie, Zhenyu Zhao, Qiangqiang Shangguan, et al.
Accident; Analysis and Prevention|December 10, 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 heterogeneitySizhe Yao, Bo Yu, Yuren Chen, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Accident; Analysis and Prevention|March 22, 2020
Investigating rear-end collision avoidance behavior under varied foggy weather conditions: A study using advanced driving simulator and survival analysisQiangqiang Shangguan, Ting Fu, Shuo Liu
Accident; Analysis and Prevention|March 31, 2023
Wide-area vehicle trajectory data based on advanced tracking and trajectory splicing technologies: Potentials in transportation researchJunhua Wang, Ting Fu, Qiangqiang Shangguan
Accident; Analysis and Prevention|November 18, 2025
Short-Term driving speed prediction under consecutive Variable speed Limits: An interpretable deep learning approach using Wide-Area trajectory dataJunhua Wang, Yiwei Ren, Ting Fu, et al.
Accident; Analysis and Prevention|March 13, 2026
DRPVLM: A generative multimodal large language model for real-time driving risk predictionJunhua Wang, Wenhao Zhang, Ting Fu, et al.
Accident; Analysis and Prevention|November 25, 2021
A proactive lane-changing risk prediction framework considering driving intention recognition and different lane-changing patternsQiangqiang Shangguan, Ting Fu, Junhua Wang, et al.
Accident; Analysis and Prevention|April 26, 2021
An integrated methodology for real-time driving risk status prediction using naturalistic driving dataQiangqiang Shangguan, Ting Fu, Junhua Wang, et al.
Accident; Analysis and Prevention|December 18, 2025
Interaction patterns exploration and risk assessment within lane changing in terms of initial scenarios and evolution processJunhua Wang, Bo Yao, Qiangqiang Shangguan, et al.
Accident; Analysis and Prevention|February 3, 2026
Identification of high-risk expressway segments using connected vehicle data: an empirical analysisXueao Li, Junhua Wang, Ting Fu, et al.
Accident; Analysis and Prevention|March 21, 2025
The existence and impacts of sequential traffic conflicts: Investigation of traffic conflict in sequences encountered by left-turning vehicles at signalized intersectionsShuke Xie, Zhenyu Zhao, Qiangqiang Shangguan, et al.
Accident; Analysis and Prevention|December 10, 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 heterogeneitySizhe Yao, Bo Yu, Yuren Chen, et al.
Pageof 2