Customer Pickup Location Optimizer


Authors : Anugrah S, Aishwarya Kaneri.

Volume/Issue : Volume 3 - 2018, Issue 11 - November

Google Scholar : https://goo.gl/DF9R4u

Scribd : https://goo.gl/KWwEqc

Thomson Reuters ResearcherID : https://goo.gl/KTXLC3

Abstract : One of the major goals of ride hailing services is to provide a good user experience to its customers by allocating the nearest available driver to the customer, hence reducing the time to wait by the customer and by minimising the cancellation of rides by drivers or customers. In this paper we propose PiLO a novel approach for recommending the optimum pick up location for customer such that the acceptance rate can be increased.

Keywords : Clustering, optimization, GPS location, data mining, S2 cell ID, map.

One of the major goals of ride hailing services is to provide a good user experience to its customers by allocating the nearest available driver to the customer, hence reducing the time to wait by the customer and by minimising the cancellation of rides by drivers or customers. In this paper we propose PiLO a novel approach for recommending the optimum pick up location for customer such that the acceptance rate can be increased.

Keywords : Clustering, optimization, GPS location, data mining, S2 cell ID, map.

Video Explanation for Published paper

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