Trabalhos primários obtidos através do trabalho "Predição de Dados de Fluxo de Tráfego: Uma Revisão Sistemática"
Na tabela abaixo, é possível visualizar os trabalhos primários selecionados após aplicação dos critérios de inclusão e exclusão. Para cada trabalho, pode-se visualizar a avaliação da qualidade, as técnicas de predição e de pré-processamento e as métricas utilizadas para validação dos modelos.
Para ter acesso ao texto completo, basta clicar na referência na tabela.
Estudos | Qualidade da Execução |
Adequação ao Objetivo |
Adequação ao Contexto |
Ranqueamento | Técnicas de Predição |
Técnicas de Pré-processamento |
Métricas de Validação |
---|---|---|---|---|---|---|---|
Aljuaydi et al. [2022] | Alta | Alta | Alta | Alta | CNN, LSTM, Autoencoder LSTM | Normalização | RMSE, MAE |
An et al. [2019] | Alta | Alta | Alta | Alta | Fuzzy-based CNN | Normalização, Preenchimento de dados faltosos | MSE, MAE, RMSE |
Awan et al. [2021] | Alta | Alta | Alta | Alta | CNN, LSTM | Normalização | MAPE, RMSE |
Bao et al. [2021] | Média | Média | Alta | Média | DBN, SVR | Normalização | Accuracy, Mean Computing Time |
Bartlett et al. [2019] | Alta | Média | Alta | Média | CNN, GRU | Não informado | RMSE |
Bilotta et al. [2022] | Alta | Alta | Alta | Alta | CONV-BI-LSTM | Normalização | MAE, MAPE, RMSE, MASE |
Buroni et al. [2021] | Alta | Média | Alta | Média | FNN, GCN, GRU | Não informado | RMSE, MAE, MASE |
Cai et al. [2020] | Alta | Média | Média | Média | PSO | Correção de dados errôneos | MAPE, RMSE |
Cao et al. [2020] | Alta | Alta | Alta | Alta | CNN, LSTM | Wavelet Transform | MAPE, RMSE |
Chen et al. [2018] | Alta | Alta | Alta | Alta | LSSVR | Não informado | RMSE |
Chen et al. [2019] | Alta | Média | Alta | Média | TFDC | Normalização | RMSE, MRE, MAE |
Chen et al. [2021] | Alta | Média | Alta | Média | LSTM | Normalização, Remoção de dados anormais | RMSE, MAE, MAPE |
Chen et al. [2022] | Alta | Média | Média | Média | RF, GWN | Não informado | RMSE, MAE |
Djenouri et al. [2023] | Alta | Alta | Alta | Alta | GCN, branch-and-bound | LOF | mAP |
Duan et al. [2018] | Alta | Média | Alta | Média | CNN, LSTM | Não informado | MSE, RMSE |
Duan et al. [2019a] | Alta | Alta | Alta | Alta | CPPBTR | Não informado | MAPE, RMSE |
Duan et al. [2019b] | Alta | Baixa | Baixa | Baixa | Convolutional LSTM | Normalização | MAPE, RMSE, MAE |
Feng et al. [2022] | Alta | Alta | Alta | Alta | GCN, GRU | Normalização | RMSE, MAE, Accuracy, R-square |
Guo et al. [2019] | Alta | Média | Alta | Média | SVR, LSTM | Não informado | MAPE, RMSE, MAE |
Huang et al. [2019] | Alta | Média | Média | Média | LSTM, GAV | Não informado | MAPE, RMSE |
Hussain et al. [2021] | Alta | Alta | Alta | Alta | GRU | Não informado | RMSE, MAPE, MAE |
Jin et al. [2019] | Alta | Média | Média | Média | GRU | Não informado | RMSE, MRE, MAE |
Kong et al. [2020] | Alta | Alta | Alta | Alta | STGAT | Normalização | MAE, RMSE, MAPE |
Li et al. [2019] | Alta | Alta | Média | Média | Densely CNN, LSTM | Normalização | RMSE |
Li et al. [2020] | Alta | Alta | Alta | Alta | Fuzzy Comprehensive Evaluation, LSTM-SPRVM | Normalização | MAPE, RMSE |
Li et al. [2021a] | Alta | Alta | Alta | Alta | DGCN | Normalização | MAE, MAPE, RMSE |
Li et al. [2021b] | Alta | Alta | Alta | Alta | CNN, LSTM. | Wavelet Transform, Normalização | RMSE, MAE, R-square |
Liu et al. [2019a] | Alta | Média | Média | Média | 3D-CNN, LSTM | Normalização | MPE, MER, PEV |
Liu et al. [2019b] | Alta | Alta | Alta | Alta | KELM | Wavelet Transform | RMSE, MAPE, R square |
Ma et al. [2020] | Alta | Alta | Alta | Alta | CNN, LSTM | Normalização | MAE, RMSE, NSE, CORR |
Mena-Oreja e Gozalvez [2021] | Alta | Média | Alta | Média | eRCNN | Não informado | MAE, MAPE, RMSE |
Mou et al. [2019] | Alta | Alta | Alta | Alta | LSTM | Normalização | RMSE, MAPE |
Muhammed et al. [2018] | Alta | Média | Média | Média | Stacked LSTM | Normalização | RMSE, MAE |
Nigam e Srivastava [2023] | Alta | Média | Alta | Média | CNN, LSTM | Normalização | MAE, RMSE |
Olayode et al. [2021] | Alta | Alta | Alta | Alta | RNA | Não informado | MAE, RMSE, R |
Pranolo et al. [2022] | Alta | Média | Média | Média | LSTM, PSO, Bifold-Attention | Normalização | MAPE, RMSE |
Qi et al. [2020] | Alta | Alta | Média | Alta | NCAE, ELM | Normalização | MAPE, VAPE |
Reza et al. [2022] | Alta | Alta | Alta | Alta | Multi-head Attention-based Transformer | Normalização | MAPE, MSE |
Ruan et al. [2020] | Alta | Média | Alta | Média | TCN | Normalização | MAE, MAPE, RMSE |
Ruan et al. [2021] | Alta | Alta | Alta | Alta | LSTM | Normalização | RMSE, MAE |
Van Der Bijl et al. [2022] | Alta | Alta | Alta | Alta | TBATS, SARIMAX, LSTM | Não informado | MAE |
Villarroya et al. [2022] | Alta | Alta | Alta | Alta | LSTM | Não informado | MAPE, sMAPE |
Yang et al. [2020] | Alta | Média | Alta | Alta | Attention Neural Network (DNN-Attention), Deep FM | Não informado | MAE, RMSE |
Zang et al. [2019] | Alta | Alta | Alta | Alta | RDBDGN | Normalização | MRE, MAE, RMSE |
Zhang e Xin [2020] | Alta | Alta | Alta | Alta | LSTM | AGACS | MAE, MRE, RMSE |
Zhang et al. [2018] | Alta | Alta | Alta | Alta | SVR, GA, RF | Normalização | MAPE, RMSE |
Zhang et al. [2019] | Média | Alta | Média | Média | LSTM, K-means clustering | Não informado | RMSE, MAE, R-square |
Zhang et al. [2020a] | Alta | Alta | Alta | Alta | MTL, GRU | Normalização | MAPE |
Zhang et al. [2020b] | Média | Média | Média | Média | RBM, SVR | Normalização | MAPE, RMSE |
Zhang et al. [2021] | Alta | Média | Alta | Média | CNN, GRU, Convolutional LSTM | Não informado | MAPE, MAE, RMSE |
Zhao et al. [2019] | Alta | Alta | Alta | Alta | TCN | Não informado | MAE, MRE |
Zhao et al. [2020] | Alta | Média | Média | Média | SAEs, LSTM, GRU | Imputação de dados ausentes | MAE, MRE, RMSE |
Zheng e Huang [2020] | Alta | Alta | Alta | Alta | LSTM | Normalização | MAE, MAPE, RMSE |
Zheng et al. [2022] | Alta | Alta | Alta | Alta | GCN, GAN | Não informado | MAE, MSE, RMSE |
Zhu et al. [2019] | Alta | Média | Média | Média | SVM, DBN | Normalização | MAPE, RMSE, MAE, MSE |
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