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12/10/2022
Spatiotemporal Residual Regularization with Dynamic Mixtures for Traffic Forecasting
Existing deep learning-based traffic forecasting models are mainly train...
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08/04/2022
Bayesian calibration of traffic flow fundamental diagrams using Gaussian processes
Modeling the relationship between vehicle speed and density on the road ...
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06/14/2022
Probabilistic forecasting of bus travel time with a Bayesian Gaussian mixture model
Accurate forecasting of bus travel time and its uncertainty is critical ...
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01/02/2021
Real-time forecasting of metro origin-destination matrices with high-order weighted dynamic mode decomposition
Forecasting the short-term ridership among origin-destination pairs (OD ...
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08/22/2020
Forecasting of the Montreal Subway Smart Card Entry Logs with Event Data
One of the major goals of transport operators is to adapt the transport ...
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04/02/2020
Incorporating travel behavior regularity into passenger flow forecasting
Accurate forecasting of passenger flow (i.e., ridership) is critical to ...
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10/06/2018
