title: Generating pedestrian trajectories consistent with the fundamental diagram based on physiological and psychological factors.
abstract: Pedestrian crowds often have been modeled as many-particle system including microscopic multi-agent simulators. One of the key challenges is to unearth governing principles that can model pedestrian movement, and use them to reproduce paths and behaviors that are frequently observed in human crowds. To that effect, we present a novel crowd simulation algorithm that generates pedestrian trajectories that exhibit the speed-density relationships expressed by the Fundamental Diagram. Our approach is based on biomechanical principles and psychological factors. The overall formulation results in better utilization of free space by the pedestrians and can be easily combined with well-known multi-agent simulation techniques with little computational overhead. We are able to generate human-like dense crowd behaviors in large indoor and outdoor environments and validate the results with captured real-world crowd trajectories.
authors: Department of Computer Science, University of North Carolina at Chapel Hill, North Carolina, USA.
authors: Sahil
authors: S
authors: Narang
authors: Department of Computer Science, University of North Carolina at Chapel Hill, North Carolina, USA.
authors: Andrew
authors: A
authors: Best
authors: Department of Computer Science, University of North Carolina at Chapel Hill, North Carolina, USA.
authors: Sean
authors: S
authors: Curtis
authors: Department of Computer Science, University of North Carolina at Chapel Hill, North Carolina, USA.
authors: Dinesh
authors: D
authors: Manocha
mesh_terms: D000465:Algorithms; D001696:Biomechanical Phenomena; D003198:Computer Simulation; D006801:Humans; D008954:Models, Biological; D008960:Models, Psychological; D009068:Movement; D000069636:Pedestrians / Q000523:psychology; D013037:Spatial Behavior; D016138:Walking