Dynamic Origin-Destination Matrix Prediction with Line Graph Neural Networks and Kalman Filter

1 May 2019

Papers citing "Dynamic Origin-Destination Matrix Prediction with Line Graph Neural Networks and Kalman Filter"

5 / 5 papers shown

Title
Large-Scale OD Matrix Estimation with A Deep Learning Method Zheli Xiong Defu Lian Enhong Chen Gang Chen Xiaomin Cheng 13 0 0 09 Oct 2023
Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction Xinke Jiang Dingyi Zhuang Xianghui Zhang Hao Chen Jiayuan Luo Xiaowei Gao 21 21 0 16 Jun 2023
Learning Geo-Contextual Embeddings for Commuting Flow Prediction Zhicheng Liu Fabio Miranda Weiting Xiong Junyan Yang Qiao Wang Claudio T. Silva AI4TS 28 70 0 04 May 2020
Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network Jintao Ke Xiaoran Qin Hai Yang Zhengfei Zheng Zheng Zhu Jieping Ye AI4TS 38 151 0 17 Oct 2019
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 236 7,906 0 13 Jun 2015