DeepSTCL: A Deep Spatio-temporal ConvLSTM for Travel Demand Prediction

DeepSTCL: A Deep Spatio-temporal ConvLSTM for Travel Demand Prediction

22 August 2020

Papers citing "DeepSTCL: A Deep Spatio-temporal ConvLSTM for Travel Demand Prediction"

13 / 13 papers shown

Title
Ambulance Demand Prediction via Convolutional Neural Networks Maximiliane Rautenstrauss Maximilian Schiffer AI4TS MedIm 6 2 0 08 Jun 2023
Semi-decentralized Inference in Heterogeneous Graph Neural Networks for Traffic Demand Forecasting: An Edge-Computing Approach Mahmoud Nazzal Abdallah Khreishah Joyoung Lee Shaahin Angizi Ala I. Al-Fuqaha Mohsen Guizani 41 6 0 28 Feb 2023
On the Limitations of Physics-informed Deep Learning: Illustrations Using First Order Hyperbolic Conservation Law-based Traffic Flow Models Archie J. Huang S. Agarwal AI4CE PINN 29 25 0 23 Feb 2023
Exploring the impact of spatiotemporal granularity on the demand prediction of dynamic ride-hailing Kai Liu Zhijun Chen Toshiyuki Yamamoto Liheng Tuo 11 13 0 19 Mar 2022
Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation Dongjie Wang Yanjie Fu Kunpeng Liu Fanglan Chen Pengyang Wang Chang-Tien Lu 30 19 0 26 Dec 2021
NeuralPDE: Modelling Dynamical Systems from Data Andrzej Dulny Andreas Hotho Anna Krause AI4CE 24 11 0 15 Nov 2021
A Novel Prediction Approach for Exploring PM2.5 Spatiotemporal Propagation Based on Convolutional Recursive Neural Networks Hsing-Chung Chen Karisma Trinanda Putra Chun-Wei Lin 15 6 0 15 Jan 2021
Deep Learning for Road Traffic Forecasting: Does it Make a Difference? Eric L. Manibardo I. Laña Javier Del Ser AI4TS 37 67 0 02 Dec 2020
Short-term Traffic Prediction with Deep Neural Networks: A Survey Kyungeun Lee Moonjung Eo Euna Jung Yoonjin Yoon Wonjong Rhee GNN AI4TS 24 52 0 28 Aug 2020
Recurrent Flow Networks: A Recurrent Latent Variable Model for Density Modelling of Urban Mobility Daniele Gammelli Filipe Rodrigues 21 1 0 09 Jun 2020
Urban flows prediction from spatial-temporal data using machine learning: A survey Peng Xie Tianrui Li Jia Liu Shengdong Du Xin Yang Junbo Zhang AI4TS AI4CE 17 74 0 26 Aug 2019
Grids versus Graphs: Partitioning Space for Improved Taxi Demand-Supply Forecasts Neema Davis G. Raina Krishna Jagannathan AI4TS 30 27 0 18 Feb 2019
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 239 7,921 0 13 Jun 2015