Abstract

Pedestrian dynamics models the walking movement of individuals in a crowd. It has recently been used in the analysis of procedures to reduce the risk of disease spread in airplanes, relying on the SPED model. This is a social force model inspired by molecular dynamics; pedestrians are treated as point particles, and their trajectories are determined in a simulation. A parameter sweep is performed to address uncertainties in human behavior, which requires a large number of simulations. The SPED model’s slow speed is a bottleneck to performing a large parameter sweep. This is a severe impediment to delivering real-time results, which are often required in the course of decision meetings, especially during emergencies. We propose a new model, called CALM, to remove this limitation. It is designed to simulate a crowd’s movement in constrained linear passageways, such as inside an aircraft. We show that CALM yields realistic results while improving performance by two orders of magnitude over the SPED model.

Highlights

  • The most popular models for the simulation of pedestrian dynamics are social force models [14]

  • Our results show that Constrained Linear Movement Model (CALM) performs almost 60 times faster than the Self Propelled Entity Dynamics (SPED) model

  • Both SPED and CALM use the model for propulsive force given in Eq (2), which is common in social dynamics [14]

Read more

Summary

Introduction

The most popular models for the simulation of pedestrian dynamics are social force models [14]. Our results show that CALM performs almost 60 times faster than the SPED model. Both SPED and CALM use the model for propulsive force given in Eq (2), which is common in social dynamics [14].

Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call