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.