9 citations · 23 across the 5 of their papers we have counts for
6 papers
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…
Estimating probabilistic dynamic origin-destination demands using multi-day traffic data on computational graphs
Wei Ma, Sean Qian
System-level decision making in transportation needs to understand day-to-day variation of network flows, which calls for accurate modeling and estimation of probabilistic dynamic…
Learning to Recommend Signal Plans under Incidents with Real-Time Traffic Prediction
Weiran Yao, Sean Qian
The main question to address in this paper is to recommend optimal signal timing plans in real time under incidents by incorporating domain knowledge developed with the traffic sig…
High-Resolution Traffic Sensing with Autonomous Vehicles
Wei Ma, Sean Qian
The last decades have witnessed the breakthrough of autonomous vehicles (AVs), and the perception capabilities of AVs have been dramatically improved. Various sensors installed on…
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…
A deep learning approach to real-time parking occupancy prediction in spatio-temporal networks incorporating multiple spatio-temporal data sources
Shuguan Yang, Wei Ma, Xidong Pi +1
A deep learning model is applied for predicting block-level parking occupancy in real time. The model leverages Graph-Convolutional Neural Networks (GCNN) to extract the spatial re…