research
∙
08/12/2023
EquiDiff: A Conditional Equivariant Diffusion Model For Trajectory Prediction
Accurate trajectory prediction is crucial for the safe and efficient ope...
share
research
∙
03/22/2023
A multi-functional simulation platform for on-demand ride service operations
On-demand ride services or ride-sourcing services have been experiencing...
research
∙
02/23/2023
Cross-City Traffic Prediction via Semantic-Fused Hierarchical Graph Transfer Learning
Accurate traffic prediction benefits urban management and improves trans...
research
∙
06/30/2021
CityNet: A Multi-city Multi-modal Dataset for Smart City Applications
Data-driven approaches have been applied to many problems in urban compu...
research
∙
11/11/2020
Joint predictions of multi-modal ride-hailing demands: a deep multi-task multigraph learning-based approach
Ride-hailing platforms generally provide various service options to cust...
research
∙
08/22/2020
Competitive ride-sourcing market with a third-party integrator
Recently, some transportation service providers attempt to integrate the...
research
∙
06/18/2020
Modeling indoor-level non-pharmaceutical interventions during the COVID-19 pandemic: a pedestrian dynamics-based microscopic simulation approach
Mathematical modeling of epidemic spreading has been widely adopted to e...
research
∙
10/17/2019
Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network
With the rapid development of mobile-internet technologies, on-demand ri...
research
∙
02/17/2019
Optimizing Online Matching for Ride-Sourcing Services with Multi-Agent Deep Reinforcement Learning
Ride-sourcing services are now reshaping the way people travel by effect...
research
∙
02/11/2018
PCA-Based Missing Information Imputation for Real-Time Crash Likelihood Prediction Under Imbalanced Data
The real-time crash likelihood prediction has been an important research...
research
∙
03/21/2014