Ting Fu 
- : Risk analysis of bridge maintenance accidents: A two-stage LEC method and Bayesian network approach. In: International Journal of Transportation Science and Technology.
- (2023): Risk prediction for cut-ins using multi-driver simulation data and machine learning algorithms: A comparison among decision tree, GBDT and LSTM. In: International Journal of Transportation Science and Technology, v. 12, n. 3 (September 2023).
- (2022): Crash prediction for freeway work zones in real time: A comparison between Convolutional Neural Network and Binary Logistic Regression model. In: International Journal of Transportation Science and Technology, v. 11, n. 3 (September 2022).
- (2023): Realtime wide-area vehicle trajectory tracking using millimeter-wave radar sensors and the open TJRD TS dataset. In: International Journal of Transportation Science and Technology, v. 12, n. 1 (March 2023).
- (2020): Safety Effects of Freeway Roadside Electronic Billboards on Visual Properties of Drivers: Insights from Field Experiments. In: Journal of Transportation Engineering, Part A: Systems, v. 146, n. 2 (February 2020).
- (2015): Using microscopic video data measures for driver behavior analysis during adverse winter weather: opportunities and challenges. In: Journal of Modern Transportation, v. 23, n. 2 (June 2015).
- (2016): A video-based approach to calibrating car-following parameters in VISSIM for urban traffic. In: International Journal of Transportation Science and Technology, v. 5, n. 1 (August 2016).
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