Relevance and Frequency Enabled Trip Planning Model based on Socio â€“ Economic Status
Sesham Anand, Padmanabham P, Govardhan 3, Rajesh Kulkarni
International Journal of Information Studies, Vol. 7, No. 4, 2000.
DOI: 
Link: https://www.dline.info/ijis/fulltext/v17n4/ijisv7n4_1.pdf
Abstract:
Planning a trip not only depends on the travelling cost, time and path, but also the socio-economic status of
the traveler. This paper attempts to introduce a new trip planning model that is able to work on real time data with
multiple socio-economic constraints. The proposed trip planning model processes the real time data followed by extracting
the relevant socio-economic attributes and mine the most frequent and feasible attribute to plan the trip. The relevance
of the socio-economic constraints is defined by correlation, whereas the frequent and feasible attributes are
mined using sequential pattern mining approach. Real time travel information about 38303 trips is acquired from
Hyderabad city of India and the proposed model is subjected to experimentation. The proposed model maintains a substantial
tradeoff between multiple performance metrics, though trip mean model performs statistically