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T-CONV: A Convolutional Neural Network For Multi-scale Taxi Trajectory
Prediction

v1v2v3 (latest)

T-CONV: A Convolutional Neural Network For Multi-scale Taxi Trajectory Prediction

23 November 2016

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Papers citing "T-CONV: A Convolutional Neural Network For Multi-scale Taxi Trajectory Prediction"

11 / 11 papers shown

SST: A Simplified Swin Transformer-based Model for Taxi Destination
Prediction based on Existing Trajectory

SST: A Simplified Swin Transformer-based Model for Taxi Destination Prediction based on Existing Trajectory

141

6

0

15 Aug 2023

Predicting Temporal Aspects of Movement for Predictive Replication in
Fog Environments

Predicting Temporal Aspects of Movement for Predictive Replication in Fog Environments

Tobias Pfandzelter

330

0

0

01 Jun 2023

Movement Analytics: Current Status, Application to Manufacturing, and
Future Prospects from an AI Perspective

Movement Analytics: Current Status, Application to Manufacturing, and Future Prospects from an AI Perspective

Peter Baumgartner

Daniel V. Smith

Elena Tartaglia

Ashfaqur Rahman

220

4

0

04 Oct 2022

Meta-Learning over Time for Destination Prediction Tasks

Meta-Learning over Time for Destination Prediction Tasks

Khurram Hassan-Shafique

Nuno Vasconcelos

162

6

0

29 Jun 2022

Multi-Graph Convolutional-Recurrent Neural Network (MGC-RNN) for
Short-Term Forecasting of Transit Passenger Flow

Multi-Graph Convolutional-Recurrent Neural Network (MGC-RNN) for Short-Term Forecasting of Transit Passenger Flow

172

72

0

28 Jul 2021

NetTraj: A Network-based Vehicle Trajectory Prediction Model with
Directional Representation and Spatiotemporal Attention Mechanisms

NetTraj: A Network-based Vehicle Trajectory Prediction Model with Directional Representation and Spatiotemporal Attention Mechanisms

245

53

0

21 Jun 2021

A Survey on Deep Learning for Human Mobility

A Survey on Deep Learning for Human MobilityACM Computing Surveys (ACM CSUR), 2020

Massimiliano Luca

Gianni Barlacchi

Luca Pappalardo

281

276

0

04 Dec 2020

Challenges in Vessel Behavior and Anomaly Detection: From Classical
Machine Learning to Deep Learning

Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning

Lucas May Petry

Amílcar Soares Júnior

202

31

0

07 Apr 2020

Mobility Inference on Long-Tailed Sparse Trajectory

Mobility Inference on Long-Tailed Sparse TrajectoryACM Transactions on Intelligent Systems and Technology (ACM TIST), 2020

78

1

0

21 Jan 2020

Deep Learning for Spatio-Temporal Data Mining: A Survey

Deep Learning for Spatio-Temporal Data Mining: A SurveyIEEE Transactions on Knowledge and Data Engineering (TKDE), 2019

Philip S. Yu

285

712

0

11 Jun 2019

Modeling Taxi Drivers' Behaviour for the Next Destination Prediction

Modeling Taxi Drivers' Behaviour for the Next Destination Prediction

Gianni Barlacchi

Monica Bianchini

108

30

0

21 Jul 2018