ANFIS Based Trip Distribution model for Delhi Urban Area

Author

Goel, Shivendra ; Sinha, Ashok K.

Author_Institution

BVICAM, Delhi, India

fYear

2015

fDate

11-13 March 2015

Firstpage

453

Lastpage

457

Abstract

This work reveals an ANFIS based model for Delhi Urban Area, India (DUA) for trip distribution. This work has been implemented for distribution of passenger´s trips in DUA for all the zones. This work shows the application of ANFIS based model on the real set of trips generated/attracted data of DUA passengers. The machine learning result is found quite satisfactory error being as low as .92%. This paper shows the analysis and comparison of the end results of ANFIS based model with the linear programming (LP) based model for the distribution of passenger´s trips.

Keywords

inference mechanisms; learning (artificial intelligence); neural nets; travel industry; ANFIS based trip distribution model; DUA passengers; Delhi Urban Area; India; LP based model; linear programming based model; machine learning; passenger trip distribution; Adaptation models; Computational modeling; Data models; Gravity; Linear programming; Mathematical model; Planning; Adaptive Neural Fuzzy Inference System (ANFIS); Delhi Transport Corporation (DTC); Delhi Urban Area; India (DUA); Linear programming models;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on

Conference_Location

New Delhi

Print_ISBN

978-9-3805-4415-1

Type

conf

Filename

7100291