- 期刊
- OpenAccess
Artificial Neural Network Adaptive Path Time Prediction on a Road Network
摘要
This study proposes a time prediction approach to predict trip time from Cairo airport to the tourist sites in Cairo at different conditions. The proposed approach automatically predict the trip time based on different factors such as whether, roads network type, speed and connected edge length. The proposed time prediction approach is adopted using Artificial Neural Network (ANN) techniques with Radial Basis Function Neural Networks (RBF) model and Multilayer Preceptor (MLP) model. Experimental results show that ANN time prediction approach based on two models gives promising prediction time with a powerful alternative for bus arrival time prediction. MLP model has the better-predicting performance with more accurate results than based on RBF.