z-logo
open-access-imgOpen Access
WEB SURVEY DATA AND COMMUTER MODE CHOICE ANALYSIS USING ARTIFICIAL NEURAL NETWORK
Author(s) -
Minal Srivastava,
Chalumuri Ravi Sekhar
Publication year - 2018
Publication title -
international journal for traffic and transport engineering
Language(s) - English
Resource type - Journals
eISSN - 2217-5652
pISSN - 2217-544X
DOI - 10.7708/ijtte.2018.8(3).08
Subject(s) - artificial neural network , computer science , web survey , mode (computer interface) , survey data collection , mode choice , web application , artificial intelligence , world wide web , engineering , statistics , human–computer interaction , transport engineering , mathematics , public transport

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom