Travel Mode Choice Modeling Using Artificial Neural Networks (ANN)

Mode choice modeling is the most important element of transportation planning as it affects the general efficiency of travel and the allocation of resources. It is the third step in the conventional four-step transportation forecasting model The analysis of mode choice using conventional techniques is tedious process, the latest techniques like neural networks application is getting popular in recent days. Neural network is a system composed of many simple processing elements operating in parallel whose function is determined by network structure, connection strength, and the processing performed at computing elements or nodes. This book explained systematically how one can formulate a problem and selection of variables and identifying the influence of variables through a case studies selected in India, by reading this study one can easily attack the problem without any difficulty. This book is useful for academic people and practicing engineers for solve the mode choice analysis.

Autorentext

A. MOHAN RAO B.E, M.Tech and PhDSenior ScientistAuthor has 14 years of experience and made significant contributions in respect of GIS and GPS applications in Highway/Transportation Engineerin and soft computing tools traffic flow modeling and traffic congestion modeling for hetrogenious traffic and extensive exposure to transportation softwares