| ADA | Americans with Disabilities Act |
| AI | Artificial Intelligence |
| ANFIS | Adaptive Neuro-Fuzzy Inference System |
| ANN | Artificial Neural Network |
| ARIMA | AutoRegressive Integrated Moving Average |
| AutoML | Automated Machine Learning |
| Bagging | Bootstrap Aggregating |
| BiLSTM | Bidirectional Long Short-Term Memory |
| CART | Classification and Regression Tree |
| CatBoost | Categorical Boosting |
| CNN | Convolutional Neural Network |
| ConvLSTM | Convolutional Long Short-Term Memory |
| CV | Cross-validation |
| DAR | Dial-a-Ride |
| DARP | Dial-a-Ride Problem |
| DBSCAN | Density-Based Spatial Clustering of Applications with Noise |
| DL | Deep Learning |
| DNN | Deep Neural Network |
| DRT | Demand-Responsive Transport |
| DT | Decision Tree |
| ETA | Estimated Time of Arrival |
| FCN | Fully Convolutional Network |
| FPR | Failed Prediction Ratio |
| GB | Gradient Boosting |
| GBM | Gradient Boosting Machine |
| GIS | Geographic Information System |
| GLM | Generalised Linear Model |
| GPS | Global Positioning System |
| GRU | Gated Recurrent Unit |
| ICP5–95 | Interval Coverage Probability for the 5–95% quantile interval |
| ITS | Intelligent Transportation Systems |
| LightGBM | Light Gradient Boosting Machine |
| LOS | Level of Service |
| LQR | Linear Quantile Regression |
| LSTM | Long Short-Term Memory |
| MA | Moving Average |
| MAE | Mean Absolute Error |
| MAPE | Mean Absolute Percentage Error |
| MARL | Multi-Agent Reinforcement Learning |
| MASE | Mean Absolute Scaled Error |
| MARS | Multivariate Adaptive Regression Splines |
| MIL5–95 | Mean Interval Length for the 5–95% quantile interval |
| ML | Machine Learning |
| MLFF | Multilayer Feed-Forward Neural Network |
| MLP | Multilayer Perceptron |
| MSE | Mean Squared Error |
| MTL | Mean Tilted Loss |
| NYC | New York City |
| OD | Origin–destination |
| OLS | Ordinary Least Squares |
| PCP | Proportion of Correct Predictions |
| PDP | Partial Dependence Plot |
| POI | Point of Interest |
| PRISMA | Preferred Reporting Items for Systematic Reviews and Meta-Analyses |
| QR | Quantile Regression |
| R2 | Coefficient of determination |
| RF | Random Forest |
| RMSE | Root Mean Square Error |
| RoB | Risk of Bias |
| ROC-AUC | Receiver Operating Characteristic–Area Under the Curve |
| RQ | Research Question |
| SARIMAX | Seasonal AutoRegressive Integrated Moving Average with eXogenous regressors |
| SHAP | SHapley Additive exPlanations |
| ST-DP | Spatiotemporal clustering based on DBSCAN and PAM |
| SVM | Support Vector Machine |
| SVR | Support Vector Regression |
| TAZ | Traffic Analysis Zone |
| VM | Virtual Machine |
| WCP | Weight of Correct Predictions |
| XGBoost | eXtreme Gradient Boosting |