Journal of Data Processing Sesham Anand, Padmanabham. P, Govardhan. A, Rajesh Kulkarni 7 4 2017 http://www.dline.info/jdp/fulltext/v7n4/jdpv7n4_2.pdf 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.