The paper presents a classification and analysis of the results achieved using fuzzy logic to
model complex traffic and transportation processes. Fuzzy logic is shown to be a very …

Fuzzy logic is shown to be a very promising mathematical approach for modelling traffic and
transportation processes characterized by subjectivity, ambiguity, uncertainty and …

A Fuzzy Logic-based lane changing model was developed for mandatory lane changes at
lane drops. Genetic Algorithm was used for optimizing the widths of membership functions …

This study investigates the feasibility of using the Adaptive Neuro-Fuzzy Inference System
(ANFIS) in modelling home-based trip generation, and evaluates its performance as relative …

Abstract Implementation of ITS (Intelligent Traffic System) and algorithm-based route
optimization methods in the transportation network has opened a new dimension to …

Four-stage travel demand modeling comprises of trip generation, trip distribution, mode
choice, and traffic assignment. Limitations of conventional four-stage models are that they do …

Travel demand estimation is a complicated process because it is highly influenced by
human perceptions and behaviors embedded in travelers' decision making. In addition …

Modifying travel behavior is a pressing issue in the face of increasing urbanization and the
challenges that poses for existing infrastructure and deteriorating environmental conditions …

This paper attempts to introduce the application of Neuro fuzzy techniques for fulltime worker
trip production estimations in Adelaide metropolitan area using the household/person …

The travel desires of trip-makers in urban activity centres depend mainly on the location of
residential areas, proximity to various activity centres, household characteristics, and socio …