Title :
ANFIS Based Trip Distribution model for Delhi Urban Area
Author :
Goel, Shivendra ; Sinha, Ashok K.
Author_Institution :
BVICAM, Delhi, India
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;
Conference_Titel :
Computing for Sustainable Global Development (INDIACom), 2015 2nd International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-9-3805-4415-1
