19 citations · 21 across the 3 of their papers we have counts for
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cs.LG2018
Taxi Demand-Supply Forecasting: Impact of Spatial Partitioning on the Performance of Neural Networks
Neema Davis, Gaurav Raina, Krishna Jagannathan
In this paper, we investigate the significance of choosing an appropriate tessellation strategy for a spatio-temporal taxi demand-supply modeling framework. Our study compares (i)…
cs.LG2018
Taxi demand forecasting: A HEDGE based tessellation strategy for improved accuracy
Neema Davis, Gaurav Raina, Krishna Jagannathan
A key problem in location-based modeling and forecasting lies in identifying suitable spatial and temporal resolutions. In particular, judicious spatial partitioning can play a sig…