| A Novel Framework to Evaluate Pedestrian Safety at Non-Signalized Locations T Fu, L Miranda-Moreno, N Saunier Accident Analysis & Prevention 111 (C), 23-33, 2018 | 125 | 2018 |
| Investigating secondary pedestrian-vehicle interactions at non-signalized intersections using vision-based trajectory data T Fu, W Hu*, L Miranda-Moreno, N Saunier Transportation Research Part C: Emerging Technologies 105, 222-240, 2019 | 74 | 2019 |
| Effects of Lane Width, Lane Position and Edge Shoulder Width on Driving Behavior in Underground Urban Expressways: A Driving Simulator Study S Liu, J Wang, T Fu International Journal of Environmental Research and Public Health 13 (10), 2016 | 62 | 2016 |
| Expressway crash risk prediction using back propagation neural network: A brief investigation on safety resilience J Wang, Y Kong, T Fu* Accident Analysis & Prevention 124, 180-192, 2019 | 61 | 2019 |
| Modeling when and where a secondary accident occurs J Wang, B Liu, T Fu, S Liu*, J Stipancic Accident Analysis & Prevention, in Press; Online, 2018 | 61 | 2018 |
| Automatic Traffic Data Collection under Varying Lighting and Temperature Conditions in Multimodal Environments: Thermal versus Visible Spectrum Video-Based Systems T Fu, J Stipancic, S Zangenehpour, L Miranda-Moreno, S Nicolas Journal of Advanced Transportation 2017, 2017 | 59 | 2017 |
| Crash Prediction based on Traffic Platoon Characteristics using Floating Car Trajectory Data and the Machine Learning Approach J Wang, T Luo, T Fu* Accident Analysis & Prevention 133, 2019 | 51 | 2019 |
| A video-based approach to calibrating car-following parameters in VISSIM for urban traffic Z Lu, T Fu, L Fu, S Shiravi, C Jiang International journal of transportation science and technology 5 (1), 1-9, 2016 | 49 | 2016 |
| 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, in press, 2021 | 48 | 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, 2021 | 46 | 2021 |
| Pedestrian crosswalk safety at nonsignalized crossings during nighttime: Use of thermal video data and surrogate safety measures T Fu, L Miranda-Moreno, N Saunier Transportation research record 2586 (1), 90-99, 2016 | 46 | 2016 |
| Predicting drowsy driving in real-time situations: Using an advanced driving simulator, accelerated failure time model, and virtual location-based services J Wang, S Sun, S Fang, T Fu, J Stipancic Accident Analysis & Prevention 99, 321-329, 2017 | 43 | 2017 |
| 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 and 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, 2022 | 35 | 2022 |
| A Motorcyclist-Injury Severity Analysis: A Comparison of Single-, Two-, and Multi-Vehicle Crashes Using Latent Class Ordered Probit Model J Li, S Fang, J Guo, T Fu, Q Min Accident Analysis & Prevention 151, 105953, 2021 | 33 | 2021 |
| Aggressive Driving Behavior Prediction Considering Driver's Intention based on Multivariate-Temporal Feature Data W Xu, J Wang*, T Fu, H Gong, A Sobhani Accident Analysis & Prevention, 2022 | 28 | 2022 |
| The impact of vehicle moving violations and freeway traffic flow on crash risk: An application of plugin development for microsimulation J Wang, Y Kong, T Fu*, J Stipancic PLoS ONE 12 (9), e0184564, 2017 | 26 | 2017 |
| Using microscopic video data measures for driver behavior analysis during adverse winter weather: opportunities and challenges T Fu, S Zangenehpour, P St-Aubin, L Fu, L Miranda-Moreno Journal of Modern Transportation 23 (2), 81-92, 2015 | 25 | 2015 |
| 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, 2022 | 22 | 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, 2021 | 22 | 2021 |
Luis Miranda-MorenoDepartment of Civil Engineering, McGill UniversityVerified email at mcgill.ca
