An Enhanced Clustering-Based Method for Determining Time-of-Day Breakpoints Through Process Optimization. - Xiang Song 002; Wenjing Li; Dongfang Ma; Yezhou Wu; Daxiong Ji (IEEE Access, 2018)

A Match-Then-Predict Method for Daily Traffic Flow Forecasting Based on Group Method of Data Handling. - Xiang Song 002; Wenjing Li; Dongfang Ma; Dianhai Wang; Licheng Qu; Yinhai Wang (Comput. Aided Civ. Infrastructure Eng., 2018)

Online discrete choice models: Applications in personalized recommendations. - Mazen Danaf; Felix Becker; Xiang Song 002; Bilge Atasoy; Moshe E. Ben-Akiva (Decis. Support Syst., 2019)

Daily Traffic Flow Forecasting Through a Contextual Convolutional Recurrent Neural Network Modeling Inter- and Intra-Day Traffic Patterns. - Dongfang Ma; Xiang Song 002; Pu Li (IEEE Trans. Intell. Transp. Syst., 2021)

A Back-Pressure-Based Model With Fixed Phase Sequences for Traffic Signal Optimization Under Oversaturated Networks. - Dongfang Ma; Jiawang Xiao; Xiang Song 002; Xiaolong Ma; Sheng Jin 001 (IEEE Trans. Intell. Transp. Syst., 2021)

A Deep Reinforcement Learning Approach to Traffic Signal Control With Temporal Traffic Pattern Mining. - Dongfang Ma; Bin Zhou; Xiang Song 002; Hanwen Dai (IEEE Trans. Intell. Transp. Syst., 2022)

Traffic flow and speed forecasting through a Bayesian deep multi-linear relationship network. - Dongfang Ma; Jiacheng Zhu; Xiang (Ben) Song; Xin Wang 165 (Expert Syst. Appl., 2023)