most citedTwo-Dimensional Batch Linear Programming on the GPU

5 citations · 8 across the 2 of their papers we have counts for

collaborators

5 papers

cs.RO20203 cited

Simulating Crowds and Autonomous Vehicles

John Charlton, Luis Rene Montana Gonzalez, Steve Maddock +1

Understanding how people view and interact with autonomous vehicles is important to guide future directions of research. One such way of aiding understanding is through simulations…

physics.soc-ph2020

Agent-based modelling of pedestrian responses during flood emergency: mobility behavioural rules and implications for flood risk analysis

Mohammad Shirvani, Georges Kesserwani, Paul Richmond

An agent-based model (ABM) for simulating flood-pedestrian interaction is augmented to particularly explore more realistic responses of evacuating pedestrians during flooding. Pede…

cs.RO2019

Fast Simulation of Crowd Collision Avoidance

John Charlton, Luis Rene Montana Gonzalez, Steve Maddock +1

Real-time large-scale crowd simulations with realistic behavior, are important for many application areas. On CPUs, the ORCA pedestrian steering model is often used for agent-based…

physics.soc-ph2019

Agent-based simulator of dynamic flood-people interactions

Mohammad Shirvani, Georges Kesserwani, Paul Richmond

This paper presents a new simulator for dynamic modelling of interactions between flooding and people in crowded areas. The simulator is developed in FLAMEGPU (a Flexible Large sca…

cs.DC20195 cited

Two-Dimensional Batch Linear Programming on the GPU

John Charlton, Steve Maddock, Paul Richmond

This paper presents a novel, high-performance, graphical processing unit-based algorithm for efficiently solving two-dimensional linear programs in batches. The domain of two-dimen…