Qiangqiang Shangguan

A proactive lane-changing risk prediction framework considering driving intention recognition and different lane-changing patterns

Qiangqiang Shangguan, Ting Fu, Junhua Wang et al. · Accident Analysis & Prevention · 2021 · 108 citations

Engineering, Driver Behavior, Predictive Analytics +7

An integrated methodology for real-time driving risk status prediction using naturalistic driving data

Qiangqiang Shangguan, Ting Fu, Junhua Wang et al. · Accident Analysis & Prevention · 2021 · 90 citations

Engineering, Data Science, Driver Behavior +12

Dynamic prediction of traffic incident duration on urban expressways: a deep learning approach based on LSTM and MLP

Weiwei Zhu, Jinglin Wu, Ting Fu et al. · Journal of Intelligent and Connected Vehicles · 2021 · 83 citations · Full text

Intelligent Traffic Management, Engineering, Machine Learning +15

Investigating rear-end collision avoidance behavior under varied foggy weather conditions: A study using advanced driving simulator and survival analysis

Qiangqiang Shangguan, Ting Fu, Shuo Liu · Accident Analysis & Prevention · 2020 · 57 citations

Engineering, Driver Behavior, Aerospace Engineering +7

Realtime wide-area vehicle trajectory tracking using millimeter-wave radar sensors and the open TJRD TS dataset

Junhua Wang, Ting Fu, Jiangtian Xue et al. · International Journal of Transportation Science and Technology · 2022 · 44 citations · Full text