Search Results for author:
Found 1 papers, 0 papers with code
Towards Spatio-Temporal Cross-Platform Graph Embedding Fusion for Urban Traffic Flow Prediction
Based on the observations that different transportation platforms trip data (e. g., taxis, Uber, and Lyft) can be correlated, we have designed an effective fusion mechanism that combines the trip data from different transportation platforms and further uses them for cross-platform traffic flow prediction (e. g., integrating taxis and ride-sharing platforms for taxi traffic flow prediction).
Cannot find the paper you are looking for? You can
Submit a new open access paper.
