Development of route choice behavior model using linkage of neural network and genetic algorithm with trip information

Abstract

The decision-making behaviors of drivers have been clarified, as various researches on traffic behavior have been conducted until today. However, existing models set limits to examine non-linearity, ambiguity and the errors, which are occurred by variety of space-time contained in human conscious structure and process of decision-making. In particular, it is true that the route choice behavior of drivers is affected by external factors, such as past experience and change in diverse road environment information. However, taking into account the fact that various traffic problems are not being solved, it is proven that there are limitations in clearly describing traffic behavior. Accordingly, in order to construct a model that considers obscurity and non-linearity in the decision-making process of drivers, a model through neural network linkage and genetic algorithm was proposed in this study. In addition, this study was focused on proving the effectiveness of neural network theory and genetic algorithm, and studying the appropriateness of applying them into the field of transportation.