activity
20192022
most citedA deep learning approach to real-time parking occupancy prediction in spatio-temporal networks incorporating multiple spatio-temporal data sources

9 citations · 23 across the 5 of their papers we have counts for

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2 papers · 1 filter

stat.AP2022

Statistical inference of travelers' route choice preferences with system-level data

Pablo Guarda, Sean Qian

Traditional network models encapsulate travel behavior among all origin-destination pairs based on a simplified and generic utility function. Typically, the utility function consis…

stat.AP2019

Understanding and predicting travel time with spatio-temporal features of network traffic flow, weather and incidents

Shuguan Yang, Sean Qian

Travel time on a route varies substantially by time of day and from day to day. It is critical to understand to what extent this variation is correlated with various factors, such…