| Dynamic prediction of traffic incident duration on urban expressways: A deep learning approach based on LSTM and MLP W Zhu, J Wu, T Fu, J Wang, J Zhang, Q Shangguan Journal of intelligent and connected vehicles 4 (2), 80-91, 2021 | 50 | 2021 |
| An integrated methodology for real-time driving risk status prediction using naturalistic driving data Q Shangguan, T Fu, J Wang, T Luo, S Fang Accident Analysis & Prevention 156, 106122, 2021 | 46 | 2021 |
| Investigating rear-end collision avoidance behavior under varied foggy weather conditions: A study using advanced driving simulator and survival analysis Q Shangguan, T Fu, S Liu Accident Analysis & Prevention 139, 105499, 2020 | 39 | 2020 |
| A proactive lane-changing risk prediction framework considering driving intention recognition and different lane-changing patterns Q Shangguan, T Fu, J Wang, S Fang, L Fu Accident Analysis & Prevention 164, 106500, 2022 | 35 | 2022 |
| Crash prediction for freeway work zones in real time: A comparison between Convolutional Neural Network and Binary Logistic Regression model J Wang, H Song, T Fu, M Behan, L Jie, Y He, Q Shangguan International journal of transportation science and technology 11 (3), 484-495, 2022 | 22 | 2022 |
| Realtime wide-area vehicle trajectory tracking using millimeter-wave radar sensors and the open TJRD TS dataset J Wang, T Fu, J Xue, C Li, H Song, W Xu, Q Shangguan International Journal of Transportation Science and Technology 12 (1), 273-290, 2023 | 21 | 2023 |
| Modeling aggressive driving behavior based on graph construction J Wang, W Xu, T Fu, H Gong, Q Shangguan, A Sobhani Transportation Research Part C: Emerging Technologies 138, 103654, 2022 | 14 | 2022 |
| Quantification of rear-end crash risk and analysis of its influencing factors based on a new surrogate safety measure Q Shangguan, T Fu, J Wang, R Jiang, S Fang Journal of advanced transportation 2021, 1-15, 2021 | 13 | 2021 |
| A method in modeling interactive pedestrian crossing and driver yielding decisions during their interactions at intersections T Fu, X Yu, B Xiong, C Jiang, J Wang, Q Shangguan, W Xu Transportation research part F: traffic psychology and behaviour 88, 37-53, 2022 | 8 | 2022 |
| Optimization and evaluation of platooning car-following models in a connected vehicle environment G Yu, S Liu, Q Shangguan Sustainability 13 (6), 3474, 2021 | 6 | 2021 |
| Risk Prediction of Cut-ins using Multi-driver Simulation Data and Machine Learning: A Comparison among Decision Tree, GBDT and LSTM T Luo, J Wang, T Fu, Q Shangguan, S Fang International Journal of Transportation Science and Technology 2022, 2022 | 5* | 2022 |
| Car Following Behavior under Foggy Conditions with Different Road Alignments—A Driving Simulator Based Study Q Shangguan, X Wang, S Liu, J Wang 2019 5th international conference on transportation information and safety …, 2019 | 5 | 2019 |
| Quantification of cut-in risk and analysis of its influencing factors: a study using random parameters ordered probit model Q Shangguan, J Wang, T Fu, S Fang Journal of Transportation Safety & Security 14 (12), 2029-2054, 2022 | 4 | 2022 |
| An empirical investigation of driver car-following risk evolution using naturistic driving data and random parameters multinomial logit model with heterogeneity in means and … Q Shangguan, J Wang, T Fu, S Fang, L Fu Analytic Methods in Accident Research, 100265, 2023 | 3 | 2023 |
| Wide-area vehicle trajectory data based on advanced tracking and trajectory splicing technologies: Potentials in transportation research J Wang, T Fu, Q Shangguan Accident Analysis & Prevention 186, 107044, 2023 | 2 | 2023 |
| Vehicle Group Identification and Evolutionary Analysis Using Vehicle Trajectory Data C Lei, Y Ji, Q Shangguan, Y Du, S Samuel Physica A: Statistical Mechanics and its Applications, 129656, 2024 | | 2024 |
| Investigating the Effects of Variable Speed Limit Strategies on Driving Behavior and Traffic Safety S Zhao, J Wang, T Fu, Q Shangguan, H Song The 103rd Annual Meeting of Transportation Research Board, 2024 | | 2024 |
| Exploring the Traffic Flow Parameter Optimization Method of Freeway based on Real-time Crash Prediction Model and Interaction of Crash Influencing Variables Y Shao, J Wang, T Fu, Q Shangguan, H Song The 103rd Annual Meeting of Transportation Research Board, 2024 | | 2024 |
| Do traffic countermeasures improve the safety of vulnerable road users at signalized intersections? A combination of case-control and cross-sectional studies using video-based … Q Shangguan, J Keung, L Fu, L Samara, J Wang, T Fu Transportation research record 2678 (1), 806-819, 2024 | | 2024 |
| The geography of the demand for electric logistic vehicles in the era of E-commerce: Evidence from Shanghai J Deng, C Bachmann, Q Yuan, Q Shangguan Spatial Knowledge and Information, 2023 | | 2023 |
Ting FuAssociate Professor, Tongji University; SAE SMoS Cmt; WTC, Urb. Com. CmtVerified email at tongji.edu.cn
