In this study, the feasibility of using a relatively new method for data analysis called the Adaptive Neuro-Fuzzy Inference System (ANFIS) was investigated, and its application within the Palestinian context for modeling trip generation was explored. Through this study, a home-based general trip generation model (ALLTRIP) was developed, considering this approach, for one of the Palestinian urban areas (Salfit City). Several design options for building the ANFIS based model were evaluated. The optimum configuration was selected based on the highest R-Squared value and lowest RMSE, which was achieved first in this study by using gaussian membership functions, hybrid learning algorithm, and 1000 training epochs. It was found that the ANFIS represents a promising modeling technique, that can be successfully used for modeling trip generation in Palestine. This approach needs to be explored more in-depth and compared to more regression techniques that are already in use in transportation researches.

Title

Proceedings of The Eighth Jordan International Civil Engineering Conference: Smart Civil Engineering

Publisher

Jordan Engineers Association

Publisher Country

Jordan

Publication Type

Prtinted only

Volume

--

Year

2022

Pages

8