80 citations · 177 across the 5 of their papers we have counts for
5 papers
Building Transportation Foundation Model via Generative Graph Transformer
Xuhong Wang, Ding Wang, Liang Chen +1
Efficient traffic management is crucial for maintaining urban mobility, especially in densely populated areas where congestion, accidents, and delays can lead to frustrating and ex…
Agent-based Simulation Model and Deep Learning Techniques to Evaluate and Predict Transportation Trends around COVID-19
Ding Wang, Fan Zuo, Jingqin Gao +11
The COVID-19 pandemic has affected travel behaviors and transportation system operations, and cities are grappling with what policies can be effective for a phased reopening shaped…
Toward the "New Normal": A Surge in Speeding, New Volume Patterns, and Recent Trends in Taxis/For-Hire Vehicles
Jingqin Gao, Abhinav Bhattacharyya, Ding Wang +11
Six months into the pandemic and one month after the phase four reopening in New York City (NYC), restrictions are lifting, businesses and schools are reopening, but global infecti…
A validated multi-agent simulation test bed to evaluate congestion pricing policies on population segments by time-of-day in New York City
Brian Yueshuai He, Jinkai Zhou, Ziyi Ma +5
Evaluation of the demand for emerging transportation technologies and policies can vary by time of day due to spillbacks on roadways, rescheduling of travelers' activity patterns,…
Impact of COVID-19 behavioral inertia on reopening strategies for New York City Transit
Ding Wang, Brian Yueshuai He, Jingqin Gao +3
The COVID-19 pandemic has affected travel behaviors and transportation system operations, and cities are grappling with what policies can be effective for a phased reopening shaped…