DocumentCode
150207
Title
An improved modeling of mode-choice behavior in urban area using adaptive neural fuzzy inference system
Author
Goel, Shivani ; Sinha, Arun Kumar
Author_Institution
Shobhit Univ., Meerut, India
fYear
2014
fDate
5-7 March 2014
Firstpage
286
Lastpage
290
Abstract
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%.
Keywords
fuzzy reasoning; learning (artificial intelligence); neural nets; planning; traffic engineering computing; Delhi urban area; adaptive neural fuzzy inference system; fleet size; level-of-service; machine learning; mode-choice behavior analysis; transportation planning model; work trips peak period; Adaptation models; Computational modeling; Data models; Fuzzy logic; Mathematical model; Planning; Urban areas; Adaptive Neural Fuzzy Inference System (ANFIS).; Mode-choice;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing for Sustainable Global Development (INDIACom), 2014 International Conference on
Conference_Location
New Delhi
Print_ISBN
978-93-80544-10-6
Type
conf
DOI
10.1109/IndiaCom.2014.6828145
Filename
6828145
Link To Document