A mesoscopic model for large-scale simulation of pedestrian dynamics

A mesoscopic pedestrian model is proposed, considering pedestrians as individuals and describing their movement by means of aggregate density-flow relationships. The model builds on a stochastic process, describing transition rates among adjacent sites on a lattice. Each lattice can contain several pedestrians. The approach is minimal and fast to simulate, and, by construction, capable of capturing population heterogeneity as well as variability in walking behaviour and en-route path choice. The model is more efficient than microscopic models, and potentially more accurate than macroscopic ones. The authors calibrate and validate the model using real data and carry out several numerical experiments to present its key properties and possible applications for simulation of large-scale scenarios.

• Record URL:
  https://doi.org/10.1016/j.trc.2018.05.021
• Record URL:
  http://www.sciencedirect.com/science/article/pii/S0968090X18307228
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/0968090X
• Supplemental Notes:
  • © 2018 Elsevier Ltd. All rights reserved. Abstract reprinted with permission of Elsevier.
• Authors:
  • Tordeux, Antoine
  • 0000-0001-5077-0327
  • Lämmel, Gregor
  • Hänseler, Flurin S
  • Steffen, Bernhard
• Publication Date: 2018-8

Language

• English

Media Info

• Media Type: Web
• Features: Appendices; Figures; References; Tables;
• Pagination: pp 128-147
• Serial:
  • Transportation Research Part C: Emerging Technologies
  • Volume: 93
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 0968-090X
  • Serial URL: http://www.sciencedirect.com/science/journal/0968090X

Subject/Index Terms

• TRT Terms: Mesoscopic traffic flow; Pedestrian movement; Pedestrians; Simulation
• Subject Areas: Pedestrians and Bicyclists; Planning and Forecasting;

Filing Info

• Accession Number: 01679463
• Record Type: Publication
• Files: TRIS
• Created Date: Aug 27 2018 5:17PM