Fig 1.
Traffic forecasting system plan.
Fig 2.
The most prevalent keywords are found in traffic forecasting literature.
Table 1.
An overview of traffic flow prediction articles.
Fig 3.
Research performance stages.
Fig 4.
Chalus-Tehran, Tehran- Chalus: Heatmap representation of traffic flow over the analyzed time frame.
Fig 5.
Box plot illustrating traffic flow along the Chalus-Tehran route over the analyzed time frame.
Fig 6.
Variables used in the research.
Table 2.
A Comprehensive Overview of Hyperparameter Optimization Across Models.
Fig 7.
Evaluation of Chalus-Tehran Traffic Flow with the Random Forest Regressor Model.
Fig 8.
Evaluation of Tehran – Chalus. Traffic Flow with the Random Forest Regressor Model.
Fig 9.
Comparing the actual and predicted value of traffic flow using all models on the route.
Fig 10.
Residual value for Tehran-chalus route for random forest model.
Fig 11.
Residual value for Chalus-Tehran route for random forest model.
Fig 12.
Investigating variables affecting traffic flow in the Random Forest model for Tehran to Chalus route.
Fig 13.
Investigating variables affecting traffic flow in the Random Forest model for Chalus to Tehran route.
Fig 14.
Shap value traffic flow in the Random Forest model for Chalus to Tehran route.
Fig 15.
Investigating variables affecting traffic flow in the Random Forest model for Chalus to Tehran route.
Table 3.
Model performance evaluation indicators for Test data.
Table 4.
Model performance evaluation indicators for Test data.
Fig 16.
Traffic native software demo.
Fig 17.
Action plan under traffic congestion conditions.
Fig 18.
Action plan under moderate traffic conditions.
Fig 19.
Action plan under normal traffic conditions.
Fig 20.
Action plan under uncertain traffic conditions.