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01/28/2022
Non-Stationary Time Series Model for Station Based Subway Ridership During Covid-19 Pandemic (Case Study: New York City)
The COVID-19 pandemic in 2020 has caused sudden shocks in transportation...
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12/06/2017
Predicting Short-Term Uber Demand Using Spatio-Temporal Modeling: A New York City Case Study
The demand for e-hailing services is growing rapidly, especially in larg...
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12/06/2017
Short-Term Prediction of Signal Cycle in Actuated-Controlled Corridor Using Sparse Time Series Models
Traffic signals as part of intelligent transportation systems can play a...
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11/28/2017
