An improved modeling of mode-choice behavior in urban area using adaptive neural fuzzy inference system

This paper presents an improved model for mode-choice behavior analysis of work trips in urban area. It is observed that the mode-choice for work trips is largely influenced by the fleet size and the level-of-service. The proposed model is implemented using Adaptive Neural fuzzy Inference System for peak period of work trips in Delhi urban area. The machine learning result is found quite satisfactory with validation error being as low as 0.68%.