Relevance and Frequency enabled Trip Planning Model based on Socio â€“ Economic Status
Sesham Anand, Padmanabham. P, Govardhan. A, Rajesh Kulkarni
Journal of Data Processing, Vol. 7, No. 4, 2017.
DOI: 
Link: http://www.dline.info/jdp/fulltext/v7n4/jdpv7n4_2.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 socioeconomic
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 socioeconomic
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.