Qiangqiang Shangguan 
- : Quantifying the effectiveness of an active treatment in improving highway-railway grade crossing safety in Canada: an empirical Bayes observational before–after study. In: Canadian Journal of Civil Engineering / Revue canadienne de génie civil.
- (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).
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