An Effective Taxi Recommender System Based on A Spatiotemporal Factor Analysis Model
Abstract
—For the effective Taxi business we developed the fleet management system based on GPS which is important tool, as well as its useful to provide information to taxi driver for earning profit by mining the historical GPS path of the projectiles. In the literature, distance between current place and recommended place, time for next passengers and exact fare of trip these three factors provide the similar objective have been considered in different work. In this paper, in addition to this factor we added one more factor that is based on driver’s experience which is most likely locations to pick up the passenger given the current passenger drop off location .the one location and another location graph model referred to as OFF-ON model is worked for define the relation between the get off location and next passengers get on location. To estimate the expected fare for a trip started at a recommended location we adopted an ON-OFF model. A real world dataset from CRAWDAD is used to evaluate the proposed system. A simulator has been developed for the simulate journey behavior of taxies in database. Our proposed system still effective on recommending better profitable cruising location.
References
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