Joint predictions of multi-modal ride-hailing demands: a deep multi-task multigraph learning-based approach

11 November 2020

Papers citing "Joint predictions of multi-modal ride-hailing demands: a deep multi-task multigraph learning-based approach"

5 / 5 papers shown

Title
Multimodal joint prediction of traffic spatial-temporal data with graph sparse attention mechanism and bidirectional temporal convolutional network Dongran Zhang Jiangnan Yan K. Polat A. Alhudhaif Jun Li AI4TS 33 11 0 31 Dec 2024
A Survey of Machine Learning-Based Ride-Hailing Planning Dacheng Wen Yupeng Li F. Lau 24 4 0 26 Mar 2023
Learning with Multigraph Convolutional Filters Landon Butler Alejandro Parada-Mayorga Alejandro Ribeiro 40 6 0 28 Oct 2022
Unsupervised Knowledge Adaptation for Passenger Demand Forecasting Can Li Lei Bai Wei Liu L. Yao Travis Waller AI4TS 21 3 0 08 Jun 2022
Joint Demand Prediction for Multimodal Systems: A Multi-task Multi-relational Spatiotemporal Graph Neural Network Approach Yuebing Liang Guan Huang Zhan Zhao AI4TS 37 48 0 15 Dec 2021