Relevance- and Frequency-Enabled Trip Planning Model Based on Socio-economic Status
| Autor: | Sesham Anand, Padmanabham P., Govardhan A., Kulkarni Rajesh |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: | |
| Zdroj: | Journal of Intelligent Systems, Vol 26, Iss 3, Pp 545-559 (2017) |
| Druh dokumentu: | article |
| ISSN: | 0334-1860 2191-026X |
| DOI: | 10.1515/jisys-2016-0012 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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