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Found 3 papers, 2 papers with code
A multi-functional simulation platform for on-demand ride service operations
In addition, the existing simulators still face many challenges, ranging from their closeness to real environments of ride-sourcing systems, to the completeness of different tasks they can implement.
CityNet: A Comprehensive Multi-Modal Urban Dataset for Advanced Research in Urban Computing
Therefore, a comprehensive and multifaceted dataset is required to enable more extensive studies in urban computing.
Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network
To overcome this challenge, we propose the Spatio-Temporal Encoder-Decoder Residual Multi-Graph Convolutional network (ST-ED-RMGC), a novel deep learning model for predicting ride-sourcing demand of various OD pairs.
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