Research Summary
Areas of Interest
- Statistics and Probability, Statistical/Machine Learning, Predictive Analytics, Time Series Forecast, Functional Data Analysis, Operations Research, Optimization
- Traffic State Prediction, Transportation Systems Modeling, Simulation, and Calibration, Traffic Flow Theory, Demand Forecast
Representative Publications
Tao Ma, Fang Yao, and Zhou Zhou (2024) Network-Level Traffic Flow Prediction: Functional Time Series vs. Functional Neural Network Approach. The Annals of Applied Statistics, Vol. 18 (1), 424–444.
https://doi.org/10.1214/23-AOAS1795
Haoran Chen, Xuedong Yan, Xiaobing Liu & Tao Ma (2022) Exploring the operational performance discrepancies between online ridesplitting and carpooling transportation modes based on DiDi data, Transportation, Springer Nature.
https://doi.org/10.1007/s11116-022-10297-6
Xiaolin Gong, Tao Ma, and Constantinos Antoniou (2021) Network Traffic Dynamics Prediction with a Hybrid Approach: Autoencoder-VAR, the 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), IEEE Xplore,
https://doi.org/10.1109/MT-ITS49943.2021.9529299
Tao Ma, Constantinos Antoniou, Tomer Toledo (2020) Hybrid machine learning algorithm and statistical time series model for network-wide traffic forecast, Transportation Research Part C: Emerging Technologies, (111) 352–372,
https://doi.org/10.1016/j.trc.2019.12.022
Moeid Qurashi, Tao Ma, Emmanouil Chaniotakis, and Constantinos Antoniou (2019) PC-SPSA: Employing Dimensionality Reduction to Limit SPSA Search Noise in DTA Model Calibration, IEEE Transactions on Intelligent Transportation Systems, ISSN: 1524-9050, 1-11
https://doi.org/10.1109/TITS.2019.2915273
Tao Ma, Zhou Zhou, Constantinos Antoniou (2018) Dynamic Factor Model for Network Traffic State Forecast, Transportation Research Part B: Methodological, (118), 281-317
https://doi.org/10.1016/j.trb.2018.10.018
Tao Ma, Zhou Zhou, Baher Abdulhai (2015) Nonlinear multivariate time–space threshold vector error correction model for short term traffic state prediction, Transportation Research Part B Methodological, (76), 27–47
https://doi.org/10.1016/j.trb.2015.02.008