Title :
Artificial Neural Network based model for traffic production and attraction: A case study of all the zones of Delhi urban area
Author_Institution :
Bharati Vidyapeeth´s Inst. of Comput. Applic. & Manage., New Delhi, India
Abstract :
In the Present paper is an attempt to create an Artificial Neural Network model to highlighting and Forecasting the Production and attraction of Daily Passenger Trips. The application of this model we are showing by a case study of all the nine zones of Delhi urban area which includes North West Zone, North Zone, North East Zone, East Zone, South East Zone, Central Zone, West Zone, South West Zone, South Zone for the year 2021. As one can see that passengers trips production and attraction from various zones of Delhi leads to movement of passengers from one zone of Delhi to the others zone of Delhi on daily basis in order to fulfill their day to day requirement, which in turn influences socio-economic growth.
Keywords :
neural nets; road traffic; traffic engineering computing; transportation; Delhi central zone; Delhi east zone; Delhi north east zone; Delhi north west zone; Delhi north zone; Delhi south east zone; Delhi south west zone; Delhi south zone; Delhi urban area; Delhi west zone; artificial neural network; daily passenger trips; socio-economic growth; traffic attraction; traffic production; Artificial neural networks; Computational modeling; Production; Sociology; Statistics; Training; Urban areas; AF/A-Attraction Factors/Activities; ANN - Artificial Neural Network; DUA- Delhi Urban Area;
Conference_Titel :
Computing for Sustainable Global Development (INDIACom), 2014 International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-93-80544-10-6
DOI :
10.1109/IndiaCom.2014.6828128