Table 1 List of methodology, ML and DL used by each reviewed literature
From: Gap, techniques and evaluation: traffic flow prediction using machine learning and deep learning
| No | Authors | Model name | Machine learning and deep learning | ||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| A | B | C | D | E | F | G | H | I | J | K | L | M | N | O | P | Q | R | S | T | U | V | W | |||
| 1 | Tu et al. (2021) | SG-CNN | X | ||||||||||||||||||||||
| 2 | Zhang et al. (2021) | Multi-city Traffic Flow Forecasting Network (MTN) | X | X | |||||||||||||||||||||
| 3 | Hou et al. (2021) | SAE-RBF Framework | X | X | |||||||||||||||||||||
| 4 | Sun et al. (2021) | Congestion Patern Prediction | X | ||||||||||||||||||||||
| 5 | Xia et al. (2021) | WND-LSTM | X | ||||||||||||||||||||||
| 6 | Romo et al. (2020a) | Traffic Speed Prediction Framework | X | X | X | ||||||||||||||||||||
| 7 | Abdelwahab et al. (2020b) | Traffic Congestion Classification based on compact image representation | X | ||||||||||||||||||||||
| 8 | Abdellah and Koucheryavy (2020) | IoT traffic prediction | X | ||||||||||||||||||||||
| 9 | Wang et al. (2020) | Multitask Deep Learning Model (MTGCN) | X | ||||||||||||||||||||||
| 10 | Lin, Wang, et al. (2020) | Traffic flow prediction model (LSTM_SPLSTM) | X | ||||||||||||||||||||||
| 11 | Qu et al. (2020) | Local and Global Spatial Temporal Network (LGSTN) | X | X | |||||||||||||||||||||
| 12 | Wang et al. (2020) | Improved traffic state identification | X | X | X | ||||||||||||||||||||
| 13 | Shin et al. (2020) | LSTM-based traffic flow prediction | X | ||||||||||||||||||||||
| 14 | Ranjan et al. (2020) | Hybrid neural network for the purpose of spatial and temporal information extraction | X | X | X | ||||||||||||||||||||
| 15 | Liu et al. (2020) | Deep Learning Network | X | X | |||||||||||||||||||||
| 16 | Elleuch et al. (2020) | Intelligent Traffic Congestion Prediction System using Floating Car Data (FCD) | X | X | X | X | |||||||||||||||||||
| 17 | Sun et al. (2020) | Selected Stacked Gated Recurrent Units model (SSGRU) | X | ||||||||||||||||||||||
| 18 | Zafar and Haq (2020) | Traffic congestion prediction case study | X | X | X | X | X | ||||||||||||||||||
| 19 | Jingjuan Wang and Chen (2020) | Varying spatiotemporal graph-based convolution model (VSTGC) | X | ||||||||||||||||||||||
| 20 | Essien (2020) | Deep learning urban traffic prediction model combined with tweet information | X | X | |||||||||||||||||||||
| 21 | Ren and Xie (2019) | Transfer Knowledge Graph Neural Network (TKGNN) | X | ||||||||||||||||||||||
| 22 | Chou et al. (2019) | Deep Ensemble Stacked Long Short-Term Memory (DE-LSTM) | X | ||||||||||||||||||||||
| 23 | Yi and Bui (2019) | Vehicle Detection System (VDS) | X | X | |||||||||||||||||||||
| 24 | Xu et al. (2019) | End-to-end neural network named C-LSTM | X | X | |||||||||||||||||||||
| 25 | Jingyuan Wang et al. (2019) | Deep urban traffic flow prediction (DST) based on spatial temporal features | X | X | |||||||||||||||||||||
| 26 | Yang et al. (2019) | CNN-based multi-feature predictive model (MF-CNN) | X | ||||||||||||||||||||||
| 27 | Chen et al. (2019) | Multiple residual recurrent graph neural networks (Mres-RGNN) | X | X | X | X | |||||||||||||||||||
| 28 | Bartlett et al. (2019) | ML method comparative study | X | X | X | ||||||||||||||||||||
| 29 | Xu et al. (2018a) | Treating network status as a video for prediction of congestion level | X | X | |||||||||||||||||||||
| 30 | Shirazi and Morris (2018) | Feature collection system | X | X | |||||||||||||||||||||
| 31 | Tampubolon and Hsiung (2018) | Supervised Deep Learning Based Traffic Flow Prediction (SDLTFP) | X | ||||||||||||||||||||||
| 32 | Jin et al. (2018) | Spatio Temporal Recurrent Convolutional Network (STRCN) | X | X | |||||||||||||||||||||
| 33 | Duan et al. (2018) | Deep hybrid neural network | X | X | |||||||||||||||||||||
| 34 | Chen et al. (2018) | Fuzzy Deep convolutional Network (FDCN) | X | X | |||||||||||||||||||||
| 35 | Kong et al. (2018) | Intelligent Traffic Recommendation System | X | ||||||||||||||||||||||
| 36 | Tian et al. (2018) | Traffic flow forecasting | X | ||||||||||||||||||||||
| 37 | Khan et al. (2017) | Framework that integrates CV with AI | X | X | |||||||||||||||||||||
| 38 | Lawe and Wang (2016) | Deep-learning neural network for traffic flow optimization | X | ||||||||||||||||||||||
| 39 | Wang et al. (2016) | Traffic Condition Estimation Integrated with GPS and tweet | X | ||||||||||||||||||||||
| Total | 15 | 18 | 1 | 2 | 2 | 5 | 2 | 1 | 2 | 3 | 3 | 1 | 3 | 3 | 1 | 2 | 1 | 1 | 2 | 1 | 1 | 1 | 1 | ||