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Smart Traveller- Proficient Taxi Business Application

Author(s):

Ghumare Vaishali S. , Sahyadri Valley College Of Enginearing And Technology,Rajuri; Prof. Aher Priyanka S., Sahyadri Valley College Of Enginearing And Technology,Rajuri; Gandhakte Sonali G., Sahyadri Valley College Of Enginearing And Technology,Rajuri

Keywords:

CRAWDAD, Recommender, trajectory, Fleet

Abstract

For efficient taxi business based on GPS has become an important tool, the taxi fleet management system. It can be used providing useful information for taxi drivers to earn more profit by mining the historical GPS trajectories and also for the sake of fleet management. For next cruising location which could be a value added module of the fleet management system, we proposed a taxi recommender system. To provide the similar objective we investigated, three factors considered in different works, which are distance between the current location and the recommended location, for next passengers waiting time, and expected fare for the trip. In addition to these factors, based on drivers experience which is the most likely location we consider one more factor to pick up passengers given the current passenger drop off location. To capture the relation between the passenger get-off location and the next passenger get-on location, a location-to-location graph model, referred to as OFF-ON model, adopted. To estimate the expected fare for a trip started at a recommended location we also adapted an ON-OFF model, to evaluate the proposed system. A simulator simulates cruising behaviour of taxies in the dataset A real world dataset from CRAWDAD is used and one virtual taxi which cruises based on our recommender system.

Other Details

Paper ID: IJSRDV3I70411
Published in: Volume : 3, Issue : 7
Publication Date: 01/10/2015
Page(s): 806-807

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