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20072025
most citedTaxi demand forecasting: A HEDGE based tessellation strategy for improved accuracy

43 citations · 118 across the 18 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.LG2018★ 3 cited

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)…

eess.SY2018

Global stability of the Rate Control Protocol (RCP) and some implications for protocol design

Thomas Voice, Abuthahir, Gaurav Raina

The Rate Control Protocol (RCP) is a congestion control protocol that relies on explicit feedback from routers. RCP estimates the flow rate using two forms of feedback: rate mismat…

eess.SY2018

Stability, convergence, and limit cycles in some human physiological processes

Sreelakshmi Manjunath, Gopal Krishna Kamath, Gaurav Raina

Mathematical models for physiological processes aid qualitative understanding of the impact of various parameters on the underlying process. We analyse two such models for human ph…

cs.LG2018★ 43 cited

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…

eess.SY2018★ 1 cited

Impact of delayed acceleration feedback on the classical car-following model

Gopal Krishna Kamath, Krishna Jagannathan, Gaurav Raina

Delayed feedback plays a vital role in determining the qualitative dynamical properties of a platoon of vehicles driving on a straight road. Motivated by the positive impact of Del…