Meta Graph Transformer: A Novel Framework for Spatial–Temporal Traffic Prediction

A transfer approach with attention reptile method and long-term generation mechanism for few-shot traffic prediction

(2021) Chujie Tian et al.   NEUROCOMPUTING

Features injected recurrent neural networks for short-term traffic speed prediction

(2021) Licheng Qu et al.   NEUROCOMPUTING

Dynamic Spatial-temporal Feature Optimization with ERI Big Data for Short-term Traffic Flow Prediction

(2020) Linjiang Zheng et al.   NEUROCOMPUTING

GeoTraPredict: A Machine Learning System of Web Spatio-Temporal Traffic Flow

(2020) JINGJING LI et al.   NEUROCOMPUTING

LSTM variants meet graph neural networks for road speed prediction

(2020) Zhilong Lu et al.   NEUROCOMPUTING

Deep Spatio-Temporal Graph Convolutional Network for Traffic Accident Prediction

(2020) Le Yu et al.   NEUROCOMPUTING

PrePCT: Traffic Congestion Prediction in Smart Cities with Relative Position Congestion Tensor

(2020) Mengting Bai et al.   NEUROCOMPUTING

1D convolutional neural networks and applications: A survey

(2020) Serkan Kiranyaz et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A Comprehensive Survey of Deep Learning for Image Captioning

(2019) MD. Zakir Hossain et al.   ACM COMPUTING SURVEYS

A Short-Term Traffic Forecasting Model Based on Echo State Network Optimized by Improved Fruit Fly Optimization Algorithm

(2019) Qingyong Zhang et al.   NEUROCOMPUTING

Deep Spatial–Temporal 3D Convolutional Neural Networks for Traffic Data Forecasting

(2019) Shengnan Guo et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Subway Passenger Flow Prediction for Special Events Using Smart Card Data

(2019) Enhui Chen et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Flow Prediction in Spatio-Temporal Networks Based on Multitask Deep Learning

(2019) Junbo Zhang et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Citywide Bike Usage Prediction in a Bike-Sharing System

(2019) Yexin Li et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Predicting citywide crowd flows using deep spatio-temporal residual networks

(2018) Junbo Zhang et al.   ARTIFICIAL INTELLIGENCE

Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

(2018) Tom Young et al.   IEEE Computational Intelligence Magazine

Model Compression and Acceleration for Deep Neural Networks: The Principles, Progress, and Challenges

(2018) Yu Cheng et al.   IEEE SIGNAL PROCESSING MAGAZINE

Traffic flow prediction using LSTM with feature enhancement

(2018) Bailin Yang et al.   NEUROCOMPUTING

A spatiotemporal correlative k-nearest neighbor model for short-term traffic multistep forecasting

(2016) Pinlong Cai et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Short-Term Traffic Flow Forecasting: An Experimental Comparison of Time-Series Analysis and Supervised Learning

(2013) Marco Lippi et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Data-Driven Intelligent Transportation Systems: A Survey

(2011) Junping Zhang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Predictions of Freeway Traffic Speeds and Volumes Using Vector Autoregressive Models

(2009) Srinivasa Ravi Chandra et al.   Journal of Intelligent Transportation Systems