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07/12/2023
Physics-informed Machine Learning for Calibrating Macroscopic Traffic Flow Models
Well-calibrated traffic flow models are fundamental to understanding tra...
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09/23/2020
Agent-based Simulation Model and Deep Learning Techniques to Evaluate and Predict Transportation Trends around COVID-19
The COVID-19 pandemic has affected travel behaviors and transportation s...
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08/01/2020
Using LDA and LSTM Models to Study Public Opinions and Critical Groups Towards Congestion Pricing in New York City through 2007 to 2019
This study explores how people view and respond to the proposals of NYC ...
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07/31/2020
A validated multi-agent simulation test bed to evaluate congestion pricing policies on population segments by time-of-day in New York City
Evaluation of the demand for emerging transportation technologies and po...
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06/26/2020
An Interactive Data Visualization and Analytics Tool to Evaluate Mobility and Sociability Trends During COVID-19
The COVID-19 outbreak has dramatically changed travel behavior in affect...
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06/23/2020
Impact of COVID-19 Behavioral Inertia on Reopening Strategies for New York City Transit
The COVID-19 pandemic has affected travel behaviors and transportation s...
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05/01/2019