Can I read Neural Networks for Roundabout Traffic Flow on EtoBox?

Neural Networks for Roundabout Traffic Flow by Hakim Ehsan is a document available to read on EtoBox.

What is Neural Networks for Roundabout Traffic Flow about?

This study investigates the capacity of roundabouts in Greece using multilayer perceptron (MLP) and radial basis function (RBF) neural networks to predict entry traffic flow. The research indicates that existing models overestimate roundabout capacity, while the developed MLP model provides more accurate predictions with high predictive ability (R2 = 0.87, RMSE = 138). The findings emphasize the importance of adapting capacity models to local driving behaviors and geometric designs to improve traffic flow a

Author

Hakim Ehsan

Language

EN