On the public citation graph

Traffic Data Imputation and Prediction: An Efficient Realization of Deep Learning

https://doi.org/10.1109/access.2020.2978530

0 signed · 78 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.knosys.2017.06.010openalex-snapshot

Ensemble correlation-based low-rank matrix completion with applications to traffic data imputation

inferredcites →https://doi.org/10.1016/j.trc.2017.02.024openalex-snapshot

Deep learning for short-term traffic flow prediction

inferredcites →https://doi.org/10.1016/j.trc.2019.09.008openalex-snapshot

An effective spatial-temporal attention based neural network for traffic flow prediction

inferredcites →https://doi.org/10.1016/j.ymssp.2018.07.015openalex-snapshot

A novel nonlinear road profile classification approach for controllable suspension system: Simulation and experimental validation

inferredcites →https://doi.org/10.1080/0144164042000195072openalex-snapshot

Short‐term traffic forecasting: Overview of objectives and methods

inferredcites →https://doi.org/10.1080/08839514.2018.1448143openalex-snapshot

Missing Data Imputation for Supervised Learning

inferredcites →https://doi.org/10.1080/713827181openalex-snapshot

An analysis of four missing data treatment methods for supervised learning

inferredcites →https://doi.org/10.1093/biomet/63.3.581openalex-snapshot

Inference and missing data

inferredcites →https://doi.org/10.1109/access.2017.2700078openalex-snapshot

Peak-to-Average Power Ratio Reduction of FBMC/OQAM Signal Using a Joint Optimization Scheme

inferredcites →https://doi.org/10.1109/access.2018.2878799openalex-snapshot

Travel Time Prediction: Based on Gated Recurrent Unit Method and Data Fusion

inferredcites →https://doi.org/10.1109/access.2019.2891360openalex-snapshot

Generating Synthetic Missing Data: A Review by Missing Mechanism

inferredcites →https://doi.org/10.1109/access.2019.2903195openalex-snapshot

When Road Information Meets Data Mining: Precision Detection for Heading and Width of Roads

inferredcites →https://doi.org/10.1109/access.2019.2950898openalex-snapshot

Enhancing the User Experience in Vehicular Edge Computing Networks: An Adaptive Resource Allocation Approach

inferredcites →https://doi.org/10.1109/ccdc.2018.8407813openalex-snapshot

Fault diagnosis based on deep learning subject to missing data

inferredcites →https://doi.org/10.1109/itsc.2014.6957805openalex-snapshot

A deep learning based approach for traffic data imputation

inferredcites →https://doi.org/10.1109/jas.2018.7511144openalex-snapshot

Parallel reinforcement learning: a framework and case study

inferredcites →https://doi.org/10.1109/jiot.2019.2909038openalex-snapshot

SSIM—A Deep Learning Approach for Recovering Missing Time Series Sensor Data

inferredcites →https://doi.org/10.1109/tits.2006.869623openalex-snapshot

A Bayesian Network Approach to Traffic Flow Forecasting

inferredcites →https://doi.org/10.1109/tits.2009.2021448openalex-snapshot

Multivariate Short-Term Traffic Flow Forecasting Using Time-Series Analysis

inferredcites →https://doi.org/10.1109/tits.2009.2026312openalex-snapshot

PPCA-Based Missing Data Imputation for Traffic Flow Volume: A Systematical Approach

inferredcites →https://doi.org/10.1109/tits.2014.2311123openalex-snapshot

Deep Architecture for Traffic Flow Prediction: Deep Belief Networks With Multitask Learning

inferredcites →https://doi.org/10.1109/tits.2014.2345663openalex-snapshot

Traffic Flow Prediction With Big Data: A Deep Learning Approach

inferredcites →https://doi.org/10.1109/tits.2017.2706963openalex-snapshot

Capturing Car-Following Behaviors by Deep Learning

inferredcites →https://doi.org/10.1109/tits.2018.2843349openalex-snapshot

An Evaluation of HTM and LSTM for Short-Term Arterial Traffic Flow Prediction

inferredcites →https://doi.org/10.1109/tits.2018.2857224openalex-snapshot

Pattern Sensitive Prediction of Traffic Flow Based on Generative Adversarial Framework

inferredcites →https://doi.org/10.1109/tits.2019.2910295openalex-snapshot

Traffic Flow Imputation Using Parallel Data and Generative Adversarial Networks

inferredcites →https://doi.org/10.1109/tits.2019.2961400openalex-snapshot

Vehicle Position Correction: A Vehicular Blockchain Networks-Based GPS Error Sharing Framework

inferredcites →https://doi.org/10.1109/tnnls.2017.2677968openalex-snapshot

Recurrent Neural Networks With Auxiliary Memory Units

inferredcites →https://doi.org/10.1109/tpwrs.2016.2628873openalex-snapshot

Short-Term Electricity Price Forecasting With Stacked Denoising Autoencoders

inferredcites →https://doi.org/10.1109/tvt.2018.2885366openalex-snapshot

Image-to-Image Learning to Predict Traffic Speeds by Considering Area-Wide Spatio-Temporal Dependencies

inferredcites →https://doi.org/10.1109/tvt.2019.2917890openalex-snapshot

Computation Offloading and Resource Allocation For Cloud Assisted Mobile Edge Computing in Vehicular Networks

inferredcites →https://doi.org/10.1109/tvt.2019.2918574openalex-snapshot

Enhancing Downlink Transmission in MIMO HetNet With Wireless Backhaul

inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot

Long Short-Term Memory

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4050226openalex-extracted

Sparse Data Traffic Prediction on a Road Network Withvarying Speed Levels

inferred← citeshttps://doi.org/10.1007/978-981-19-5224-1_18openalex-snapshot

Missing Value Imputation Using Weighted KNN and Genetic Algorithm

inferred← citeshttps://doi.org/10.1007/978-981-92-3566-7_14openalex-snapshot

Long-Term Expressway Traffic Flow Prediction Model Based on Long Short-Term Memory Neural Network

inferred← citeshttps://doi.org/10.1007/s00500-020-05480-9openalex-snapshot

RETRACTED ARTICLE: Rainfall prediction using generative adversarial networks with convolution neural network

inferred← citeshttps://doi.org/10.1007/s44379-025-00041-zopenalex-snapshot

A review of generative artificial intelligence in civil and environmental engineering

inferred← citeshttps://doi.org/10.1016/j.adhoc.2022.103013openalex-snapshot

A node trust evaluation method of vehicle-road-cloud collaborative system based on federated learning

inferred← citeshttps://doi.org/10.1016/j.engappai.2025.111153openalex-snapshot

Multi-step control method of traffic flow data quality based on spatiotemporal similarity at video frame rate

inferred← citeshttps://doi.org/10.1016/j.eswa.2022.117057openalex-snapshot

Multi-attention graph neural networks for city-wide bus travel time estimation using limited data

inferred← citeshttps://doi.org/10.1016/j.knosys.2022.110188openalex-snapshot

Dynamic graph convolutional recurrent imputation network for spatiotemporal traffic missing data

inferred← citeshttps://doi.org/10.1016/j.neucom.2023.126520openalex-snapshot

Additive autoencoder for dimension estimation

inferred← citeshttps://doi.org/10.1016/j.scitotenv.2023.167095openalex-snapshot

A temporally and spatially explicit, data-driven estimation of airborne ragweed pollen concentrations across Europe

inferred← citeshttps://doi.org/10.1016/j.trc.2025.105343openalex-snapshot

Lane level traffic flow prediction in urban networks with missing data — a time accessibility based multi-task learning framework

inferred← citeshttps://doi.org/10.1061/9780784486207.050openalex-snapshot

Predicting Long-Term Urban Traffic Patterns under Varying Weather Conditions with AI

inferred← citeshttps://doi.org/10.1109/access.2020.2978048openalex-snapshot

Performance Analysis of Mobile Broadband Networks With 5G Trends and Beyond: Rural Areas Scope in Malaysia

inferred← citeshttps://doi.org/10.1109/access.2020.3040864openalex-snapshot

Traffic State Estimation of Bus Line With Sparse Sampled Data

inferred← citeshttps://doi.org/10.1109/access.2021.3085782openalex-snapshot

Performance Analysis of Mobile Broadband Networks With 5G Trends and Beyond: Urban Areas Scope in Malaysia

inferred← citeshttps://doi.org/10.1109/access.2021.3136435openalex-snapshot

Toolbox for Distance Estimation and Cluster Validation on Data With Missing Values

inferred← citeshttps://doi.org/10.1109/access.2022.3188871openalex-snapshot

Semi-GAN: An Improved GAN-Based Missing Data Imputation Method for the Semiconductor Industry

inferred← citeshttps://doi.org/10.1109/access.2024.3357533openalex-snapshot

A Comprehensive Bibliometric Analysis of Missing Value Imputation

inferred← citeshttps://doi.org/10.1109/access.2024.3439998openalex-snapshot

A Traffic Flow Data Quality Repair Model Based on Spatiotemporal Correlation

inferred← citeshttps://doi.org/10.1109/access.2025.3650085openalex-snapshot

Machine Learning Approaches for Handling Missing Data in Antimicrobial Resistance Databases

inferred← citeshttps://doi.org/10.1109/access.2026.3719134openalex-snapshot

An Extended XGB-AirSched Framework: Integrating Machine Learning With Multi-Objective Optimization for Robust Airport Slot Allocation

inferred← citeshttps://doi.org/10.1109/cict56698.2022.9997856openalex-snapshot

Origin Destination Traffic Matrix Prediction in Networks using Recurrent Layer Algorithms

inferred← citeshttps://doi.org/10.1109/iccais52680.2021.9624540openalex-snapshot

Deep Fusion Predictive Modeling Based on Noise Analysis

inferred← citeshttps://doi.org/10.1109/icirca51532.2021.9544957openalex-snapshot

A Survey of Machine Learning-Based Approaches for Missing Value Imputation

inferred← citeshttps://doi.org/10.1109/jiot.2025.3567697openalex-snapshot

Dynamic Spatial-Temporal Imputation Network With Missing Features for Traffic Data Imputation

inferred← citeshttps://doi.org/10.1109/jiot.2026.3668825openalex-snapshot

Dynamic Spatio–Temporal Imputation for Robust UWB Ranging in Urban Subway Localization

inferred← citeshttps://doi.org/10.1109/mitadtsocicon60330.2024.10575776openalex-snapshot

Study of Machine Learning Tactics for Missing Data Imputation and Classification

inferred← citeshttps://doi.org/10.1109/tbdata.2022.3154097openalex-snapshot

STGAN: Spatio-Temporal Generative Adversarial Network for Traffic Data Imputation

inferred← citeshttps://doi.org/10.1109/tits.2021.3074564openalex-snapshot

Missing Data Repairs for Traffic Flow With Self-Attention Generative Adversarial Imputation Net

inferred← citeshttps://doi.org/10.1109/tits.2025.3587612openalex-snapshot

Missing Value Treatments for Machine Learning-Based Misbehavior Detection Systems: Survey, Evaluation, and Challenges

inferred← citeshttps://doi.org/10.1142/s2196888822500257openalex-snapshot

The Application of Deep Learning Imputation and Other Advanced Methods for Handling Missing Values in Network Intrusion Detection

inferred← citeshttps://doi.org/10.1155/2022/2895338openalex-snapshot

A Belief Two-Level Weighted Clustering Method for Incomplete Pattern Based on Multiview Fusion

inferred← citeshttps://doi.org/10.1177/03611981221148491openalex-snapshot

Sparse Data Traffic Speed Prediction on a Road Network With Varying Speed Levels

inferred← citeshttps://doi.org/10.1177/03611981231158324openalex-snapshot

Large-Scale Network Imputation and Prediction of Traffic Volume Based on Multi-Source Data Collection System

inferred← citeshttps://doi.org/10.1186/s40537-021-00516-9openalex-snapshot

A survey on missing data in machine learning

inferred← citeshttps://doi.org/10.12694/scpe.v25i5.3023openalex-snapshot

Missing Data Imputation for Health Care Big Data using Denoising Autoencoder with Generative Adversarial Network

inferred← citeshttps://doi.org/10.1371/journal.pone.0320567openalex-snapshot

Traffic flow data quality control under video frame rate considering section-level geospatial similarity

inferred← citeshttps://doi.org/10.21203/rs.3.rs-535520/v1openalex-snapshot

A Survey On Missing Data in Machine Learning

inferred← citeshttps://doi.org/10.3390/math14193474openalex-snapshot

RL-AirSched: A Feasibility-Aware Reinforcement Learning Framework for Dynamic Airport Slot Rescheduling

inferred← citeshttps://doi.org/10.3390/su151411092openalex-snapshot

Traffic Flow Prediction Based on Hybrid Deep Learning Models Considering Missing Data and Multiple Factors

inferred← citeshttps://doi.org/10.3390/su18063058openalex-snapshot

A Recognition Framework for Personalized Trip Chain Feature Map of Hazardous Materials Transport Vehicles

inferred← citeshttps://doi.org/10.3934/era.2024034openalex-snapshot

Hybrid short-term traffic flow prediction based on the effect of non-linear sequence noise

inferred← citeshttps://doi.org/10.5204/thesis.eprints.211432openalex-snapshot

Network-wide traffic congestion visual analytics: A case study for Brisbane Bluetooth MAC scanner data

inferred← citeshttps://doi.org/10.70675/b3a4930cz2ae5z4f53z9602ze781cb8f524aopenalex-snapshot

Deep learning for automatic facial expression assessment with application to the expression of pain

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.