743 citations · 994 across the 8 of their papers we have counts for
9 papers
Joint predictions of multi-modal ride-hailing demands: a deep multi-task multigraph learning-based approach
Jintao Ke, Siyuan Feng, Zheng Zhu +2
Ride-hailing platforms generally provide various service options to customers, such as solo ride services, shared ride services, etc. It is generally expected that demands for diff…
Spatial Pricing in Ride-Sourcing Markets under a Congestion Charge
Sen Li, Hai Yang, Kameshwar Poolla +1
This paper studies the optimal spatial pricing for a ride-sourcing platform subject to a congestion charge. The platform determines the ride prices over the transportation network…
Modeling indoor-level non-pharmaceutical interventions during the COVID-19 pandemic: a pedestrian dynamics-based microscopic simulation approach
Yao Xiao, Mofeng Yang, Zheng Zhu +3
Mathematical modeling of epidemic spreading has been widely adopted to estimate the threats of epidemic diseases (i.e., the COVID-19 pandemic) as well as to evaluate epidemic contr…
Go left or right? Explore the side preference behavior with circle antipode experiments
Yao Xiao, Ziyou Gao, Rui Jiang +2
Side preference is a critical behavior in conflict handling, and here the behavior is investigated with pedestrian trajectories in circle antipode experiments that own both conflic…
Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network
Jintao Ke, Xiaoran Qin, Hai Yang +3
With the rapid development of mobile-internet technologies, on-demand ride-sourcing services have become increasingly popular and largely reshaped the way people travel. Demand pre…
Optimizing Online Matching for Ride-Sourcing Services with Multi-Agent Deep Reinforcement Learning
Jintao Ke, Feng Xiao, Hai Yang +1
Ride-sourcing services are now reshaping the way people travel by effectively connecting drivers and passengers through mobile internets. Online matching between idle drivers and w…