Description

In the pedestrian-flow setting, the eikonal equation |∇φ| = 1 / f(ρ) (or similar) defines a travel-time field φ(x) whose gradient gives the locally optimal direction of motion under a density-dependent speed function. It is the standard route-choice machinery inside continuum-crowd-model formulations (Hughes' dynamic model in particular) and gives a physically grounded alternative to hand-tuned floor fields.

When it's used

  • Continuum-model implementation of agent route choice
  • Pre-computed travel-time potentials for evacuation planning
  • Coupling density fields with goal-directed movement

Limitations

  • Assumes a single dominant goal; multiple exits need superposition heuristics
  • Numerical solvers (fast marching) need careful boundary handling
  • Cannot capture strategic / cognitive route deviations

Source Papers

  • maity2024_4dd4 — eikonal-based pedestrian flow
  • maury2018_d24a — eikonal in continuum review
  • kleinmeier2019_e6cd — eikonal in Vadere-style simulators
  • huang2009_292f — eikonal in continuum pedestrian model

7 vault papers use this method

Titles and DOIs only — no abstracts, no analyses.

  • Revisiting Hughes’ dynamic continuum model for pedestrian flow and the development of an efficient solution algorithm 2009 DOI ↗
  • A review on crowd simulation and modeling 2020 DOI ↗
  • Vadere: An Open-Source Simulation Framework to Promote Interdisciplinary Understanding 2019 DOI ↗
  • A high-resolution meshfree particle method for numerical investigation of second-order macroscopic pedestrian flow models 2024 DOI ↗
  • Body and mind: Decoding the dynamics of pedestrians and the effect of smartphone distraction by coupling mechanical and decisional processes 2023 DOI ↗
  • Physics of Human Crowds 2023 DOI ↗
  • Crowds in Equations 2018 DOI ↗