Relevance- and Frequency-Enabled Trip Planning Model Based on Socio-economic Status

• Main Authors: Sesham Anand, Padmanabham P., Govardhan A., Kulkarni Rajesh
• Format: Article
• Language: English
• Published: De Gruyter 2017-07-01
• Series: Journal of Intelligent Systems
• Subjects: correlation; pattern; socio-economic; frequent; trip; planning; mining
• Online Access: https://doi.org/10.1515/jisys-2016-0012

Planning a trip not only depends on the traveling cost, time, and path, but also on 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 real-time data to extract the relevant socio-economic attributes; later, it mines the most frequent as well as the feasible attributes to plan the trip. The relevance of the socio-economic constraints is defined using correlations, whereas the frequent as well as the feasible attributes are mined through the sequential pattern mining approach. Real-time travel information of about 38,303 trips was acquired from the Indian city of Hyderabad, and the proposed model was subjected to experimentation. The proposed model maintained a substantial trade-off between multiple performance metrics, though the trip mean model performed statistically.